Abstract
1. Introduction
Nonlinear optics as a means to achieve ultrafast all-optical signal processing has been extremely powerful, and has focused on photonic integrated circuit platforms based on highly nonlinear materials such as silicon[
New CMOS compatible platforms for nonlinear optics were introduced in 2007/8 that exhibit negligible TPA in the 1550 nm wavelength regime. These include silicon nitride[
A significant application for microcombs has been in signal processing functions for telecommunications and RF/microwave systems, ranging from RF photonic applications to signal generation and processing for radar systems[
Kerr micro-combs[
Recently[
2. Integrated Kerr micro-combs
The formation of micro-combs is a complex process that arises from a combination of a high nonlinear parameter together with low nonlinear as well as linear loss, and finally from careful engineering of the dispersion. Micro-combs have been realized in a variety of material platforms[
The devices that were used in the work reviewed here were fabricated in Hydex glass[
For the 200 GHz devices, combs were generated by amplifying the CW pump power to more than 1 W (> +30 dBm). Next the wavelength was tuned from blue to red relative to the resonance wavelength, targeting a TE resonance near ~1550 nm. As the offset between the cold resonance and pump wavelength became sufficiently small, the intracavity pump power reached a threshold when modulation instability gain yielded oscillation[
More recently, we have used soliton crystal microcombs that featured not only this new mode of operation, but with a record low FSR spacing of 49 GHz[
3. Photonic RF and microwave channelizers
The ability to detect and analyze RF and microwave signals with very large bandwidths is critical for radar systems, electronic warfare, satellite communications and more[
Early reports of RF photonic channelizers used methods where RF signals were transmitted over single optical wavelengths and were then physically split to achieve spectral channelizing, usually with diffraction gratings[
Recent work on RF spectral slicing using multicasting of RF signals onto many optical wavelengths simultaneously has adopted a number of techniques including stimulated Brillouin scattering[
Other approaches that use wavelength scanning devices[
Here, we review recent work on broadband photonic RF channelizers realised through the use of integrated optical frequency Kerr microcombs, in combination with passive ring resonator filters. By using an on-chip Kerr comb source consisting of a nonlinear micro-ring resonator (MRR) with an FSR spacing of either 200 or 49 GHz, in combination with a passive on-chip MRR based filter with a FSR of 49 GHz and Q factor of 1.55 × 106, we achieved RF channelizers with high performance. The use of a 49 GHz comb resulted in a larger number of channels since the FSR of the comb source was nearly matched to the 49 GHz passive MRR. For the 200 GHz spaced comb, only every 4th resonance of the 49 GHz passive MRR could be used. We verified the RF performance experimentally at frequencies up to 26 GHz, achieving a high spectral resolution of better than 1.04 GHz for both systems. In addition to high RF performance, this approach offers a reduced footprint, lower complexity, and potentially lower cost.
4. Principle of operation
Fig. 1 shows a schematic of the RF channelizer operating by combining a microcomb as a source (in our case combs with FSRs of either 200 or 49 GHz) with a 49 GHz passive MRR that acts as a narrow optical filter. We first discuss the system based on the 200 GHz FSR microcombs, where we generated Kerr combs in the MRR by pumping with a CW tunable laser which was then amplified by an EDFA. A tunable bandpass optical filter suppressed the amplifier amplified spontaneous emission (ASE) noise and a polarization controller was then used to optimize the polarization coupled into the waveguide. When the wavelength of the pump was tuned near a resonance of the microcomb MRR, if the power was sufficiently large, then parametric gain eventually resulted in optical parametric oscillation. Finally Kerr combs with a spacing equal to the MRR FSR δOFC (~ 200 GHz) were generated. In the channelizer wavelength range the frequency of the k-th (k = 2, 3, 4, …) comb line is
Figure 1.(Color online) Schematic diagram of the broadband RF channelizer based on an integrated optical comb source. Amp: erbium-doped fibre amplifier. OBPF: optical bandpass filter. PC: polarization controller. MRR: micro-ring resonator. OC: optical coupler. PM: phase modulator. Temp. Con.: temperature controller. DEMUX: de-multiplexer. Rx: Receiver. OSA: optical spectrum analyzer. (a) Channelizer based on 200 GHz microcomb MRR with 49 GHz passive MRR. (b) Schematic diagram of the broadband RF channelizer based on a soliton crystal microcomb. EDFA: erbium-doped fibre amplifier. PC: polarization controller. MRR: micro-ring resonator. WS: WaveShaper. PM: phase modulator. TEC: temperature controller. DEMUX: de-multiplexer. Rx: Receiver.
where fOFC(1) is the first comb line frequency on the red side. The microcomb lines were made uniform using a WaveShaper and then propagated through a phase modulator (PM) which multicast the RF broadband signal over all wavelengths. Finally, each of the 200 GHz comb lines, where each had the RF signal spectrum imprinted on it, were spectrally sliced, or sampled, by the second high Q MRR with a 49 GHz FSR. Hence, in the first series of experiments we had to use every 4th resonance of the passive MRR to achieve the spectral slicing, which resulted in an effective FSR with a spacing δMRR of ~196 GHz. Therefore, the RF spectrum on each of the 200 GHz microcomb lines was progressively sampled with a sequential step between resonances of about 4 GHz. The output channelized RF frequencies are:
with fRF(k) being the k-th RF channelized frequency, and fMRR(k) the k-th center frequency of the passive MRR filter. Here, [fMRR(1) – fOFC(1)] is the spacing between the 1st comb line and nearest filter line, which is equal to the channelized RF frequency offset, and (δOFC – δMRR) corresponds to the channelized RF frequency step between adjacent wavelengths. While the RF channels could in principle be sampled with an optical spectrum analyzer or de-multiplexer such as an AWG (arrayed waveguide grating), as long as it had a channel spacing that matched the FSR (or a multiple) of the 49 GHz MRR, in practice AWG multiplexers and similar devices generally do not have nearly as fine a resolution as the MRRs used here – they tend to have channel widths matched to the ITU grid of 50 or 100 GHz, versus the MRRs used here that had a 3 dB linewidth of about 1 GHz. The RF signals were then measured using homodyne detection, where the comb lines that had been flattened were separated first before modulating their phase, in order for them to be able to act as local oscillators (LOs). Next, they were coupled together with the channelized optical RF sidebands and then detected coherently before post processing. In the initial work based on the 200 GHz combs[
That first work was followed by an RF channelizer based on a 49 GHz microcomb combined with the 49 GHz passive MRR filter[
The second broadband RF channelizer (Fig. 1(b)) is very similar to the previous device and also contains 3 modules. The first consists of comb generation followed by spectral flattening. Here, a MRR was driven by a CW pump to initiate parametric oscillation. The high Q factor (> 106) of the MRR, together with its high nonlinear FOM and anomalous dispersion, together generated sufficient parametric gain to produce Kerr soliton crystal micro-combs. The nature of the oscillation state of the microcomb was determined primarily by the pump to resonance detuning together with the pump power. By sweeping the pump wavelength from blue to red, a range of dynamic nonlinear states could be achieved, including coherent soliton states. The comb lines can also be labelled by Eqs. (1) and (2) except that now the number of lines is much larger. N microcomb lines are generated with a spacing of δOFC, the optical frequency of the k-th (k = 1, 2, 3, …, 92) comb line is given by Eq. (1). An optical WaveShaper was again used to flatten the comb line powers.
In the second module, the flattened comb lines were passed through an electrooptical phase modulator, where the input broadband RF signal was multicast onto all wavelengths. Next, and as before, the replicated RF spectra were sliced by the passive MRR with an FSR of δMRR, where the slicing resolution is given by the 3 dB bandwidth of the passive resonator, about 1 GHz in our case. Hence, the RF spectral segments for all channels were essentially channelized with a RF centre frequency step given by Eq. (2).
For the 49 GHz comb based device, we used phase modulation combined with notch filtering, using the transmission through port of the second passive MRR, to convert the RF/optical signal from phase modulation to intensity modulation. Phase modulation first produced both lower and upper sidebands that had opposite phases. One of the sidebands was then rejected by the notch resonance, leaving the optical carrier to beat with the other unsuppressed sideband on photodetection. Thus, the process resulted in converting the modulation format from phase modulation to single sideband intensity modulation without a local oscillator. Hence, we effectively realized N bandpass filters in parallel, each with a spectral resolution bandwidth of ∆f, which was set by the resonant linewidth of the passive MRR. The RF centre frequencies fRF(k) were given by the relative offset between the optical carrier frequency and the passive resonance frequencies [fMRR(k) – fOFC(k)] (see Eq. (2)). Therefore, the input RF spectrum was channelized, or demultiplexed, into N channels located at fRF(k) and each having a ∆f bandwidth.
As mentioned, adopting this method eliminated the requirement for a separate local oscillator path to be able to achieve homodyne coherent detection. Therefore, this approach is more stable and compact than methods that require interference paths[
5. 200 GHz microcomb system
Both MRRs (Fig. 2) were based on a Hydex glass, a high-index doped silica glass platform that has CMOS compatible fabrication processes. First, high-index (n = ~1.70) Hydex glass films were deposited using PECVD, then patterned using photo-lithography and then reactive ion etched to produce waveguides that featured very low surface roughness. Finally, low index Hydex (n = ~1.44 at 1550 nm) was grown, again by PECVD, to produce the upper cladding layer. The advantages of Hydex for nonlinear optical parametric oscillators (OPOs) are very low linear propagation loss (~0.06 dB·cm−1), a reasonably high optical nonlinearity (~233 W−1·km−1), and most importantly, essentially zero two-photon absorption even at extremely high intensities of ~25 GW·cm−2[
Figure 2.(Color online) Schematic illustration of the (a) 200 GHz-FSR MRR and (b) 49 GHz-FSR MRR. (c) SEM image of the cross-section of the 200 GHz MRR before depositing the silica upper cladding.
The pump laser power was boosted to 500 mW and then the wavelength tuned from blue to red in order to generate the microcombs. Initially, with the pump wavelength tuned near the MRR resonance, the primary microcombs were generated first (Fig. 3(a)), which featured idler and signal frequencies in the L and S-bands with a pump – signal spacing of 19 FSRs (3.8 THz) governed by the modulational instability gain profile. When the pump to adjacent resonance wavelength offset was tuned further, the parametric gain peaks widened, followed by the appearance of secondary comb lines with a spacing equal to the FSR, driven by cascaded FWM. The final soliton crystal Kerr combs were produced with the pump wavelength at 1548.58 nm. Figs. 3(b) and 3(c) show that the ensuing microcomb was relatively flat over the full C and L bands and was more than 200-nm wide over all S, C, L, and U bands, featuring 20 wavelengths across the C-band and more than 60 wavelengths across the combined C and L-bands. The large comb spacing translated into a large Nyquist zone, with an RF bandwidth over 100 GHz. This is very difficult to achieve with either externally-modulated comb sources or mode-locked lasers.
Figure 3.(Color online) Optical spectrum for the 200 GHz FSR micro-comb device. (a) The primary comb. (b) The secondary comb. (c) The Kerr comb with 300 nm span. (d) The shaped optical comb for the channelizer with less than 0.5 dB unflatness. (e) 20 and (f) seleted 4 comb lines modulated by RF signals.
While the 200 GHz comb did not have a spectral profile that indicated operation in the single soliton state, this did not pose a limitation. Our theoretical analysis indicated that the Kerr comb was working in a partially coherent state that featured a stable amplitude and phase. Indeed, the spatial patterns appeared to reflect operation in soliton molecule states[
Since the comb source served both as an optical carrier for RF sideband generation and as a LO for RF receiving (for the 200 GHz comb), the channelized RF optical sidebands and LOs were inherently coherent, and so rigorous phase-locked comb lines were not needed. Indeed, this is an advantage compared with RF coherent receivers[
The 20 C-band channels of the 200 GHz comb were shaped by a Finisar 4000S WaveShaper to equalize the power of the wavelength channels. A feedback control path accurately read and shaped the power of the comb lines as monitored by an optical spectrum analyser, which was then compared to the theoretical weights which were uniform in our case. This generated a feedback signal error to the WaveShaper so as to calibrate the system and perform accurate comb flatness and shaping to within ± 0.3 dB (Fig. 3(d)). Note that passive gain flattening filters can be used to flatten the spectrum instead of the WaveShaper. A phase modulator then multicast the RF signal onto all wavelengths, where Figs. 3(e) and 3(f) show the optical spectra of the flattened comb lines that were modulated with the RF signal. The 20 equalized channels were limited to the C-band only because of the operating wavelength range of the WS. In practice the number of wavelengths can be increased easily to 60 with the use of a C/L band WS. Next, each wavelength channel was spectrally sliced in order to extract the RF signal, by using the second MRR (49 GHz). Figs. 4(a) and 4(b) show the 49 GHz MRR drop-port transmission over a range of 5 nm, with an FSR of ~49 GHz (~0.4 nm) over 152 modes (denoting the mode at 193.294 THz as 0). The single resonance transmission (Fig. 4(c)) has a 124.94 MHz FWHM, or Q = 1.549 × 106, with a 1.04 GHz –20 dB bandwidth. This equals the RF resolution, which is compatible with state-of-the-art A/D[
Figure 4.(Color online) Drop-port transmission spectrum of the passive on-chip 49 GHz MRR (a) with a span of 5 nm, (b) showing an FSR of 49 GHz, and (c) a resonance at 193.294 THz with full width at half maximum (FWHM) of 124.94 MHz, corresponding to a
To demonstrate the operation principle of the RF channelizer, we show both the 200 GHz comb and the 49 GHz passive MRR transmission spectra, marking every 4th resonance that lines up with the 200 GHz comb in Fig. 5(a). We also see that for the 20 C-band comb channels, the relative offset between every 4th resonance of the 49 GHz MRR and the 200 GHz comb lines shifts linearly in the range 3.89–88.65 GHz, and this determines the RF spectral sliced frequency. This 200 GHz comb lines were measured to be at an FSR of δOFC = 200.44 GHz while four times the 49 GHz MRR lines were δMRR = 196.01 GHz. Thus the channelized RF frequency increment between channels was δOFC – δMRR = 4.43 GHz.
Figure 5.(Color online) (a) The measured optical spectrum of the 200 GHz micro-comb and transmission of the 49 GHz MRR. Zoom-in views of the channels with different channelized RF frequencies. (b) Extracted channelized RF frequencies, the inset shows the corresponding optical frequencies of the comb lines and the spectral slicing resonances.
We measured the frequency response of the RF channelizer up to 20 GHz. This required only 4 of 20 channels in Fig. 5, equal to 4 frequencies in the range 1.7 to 19.0 GHz. We measured the transmission of the passive 49 GHz MRR with an optical spectrum analyzer (Fig. 6), illustrating how successive RF optical sidebands featuring progressively shifting RF frequencies were channelized at different wavelengths. Optical-carrier RF tones (Fig. 6(a)) at frequencies of 1.7, 6.3, 11.2, and 15.8 GHz were contained in 4 wavelengths, yielding an RF frequency step of ~ 4.8 GHz, consistent with Fig. 5. The leaked power of channel 4 arose primarily from extraneous optical carrier tones, but these can be easily decreased by optimizing the modulation format, for example by using carrier-suppressed single sideband modulation.
Figure 6.RF response of the 200 GHz Channelizer. Measured optical spectrum of the 49 GHz MRR’s output with different input RF frequencies, with the temperature of the 49 GHz MRR set to (a) 24.0, (b) 24.5, (c) 25.0, and (d) 25.5 °C. (e) Channelized RF frequencies at different wavelength channels with different temperatures.
In order to fully exploit the 1 GHz RF resolution of our system and fill in the gaps created by the ~ 4.8 GHz RF step size, we temperature tuned[
Fig. 7 shows the channelized radio frequencies of the various wavelengths extracted from Fig. 6, across the RF range 1.7–19.0 GHz, restricted only by the bandwidth of the RF modulator. Fig. 8 shows the extinction ratio of the channels (ER - the ratio of the signal channel optical power to the maximum power of the remaining channels) deduced from Figs. 6(a)–6(d), showing an ER as high as 20 dB. The optical power non-uniformity of the channels arose predominantly from the spectral gain profile of the amplifier. This can be reduced greatly with the use of gain flattening filters. The ER was also limited by excess noise of the 2nd EDFA when adapting the optimized RF modulation format in order to increase the optical signal-to-noise-ratio (OSNR). To address this lower noise EDFAs could be used to enhance the performance. The thermal controllers had an accuracy of 0.01 °C, contributing to an error of about 50 MHz for the channelized RF frequencies, which could be reduced with more precise thermal control or through use of a feedback loop.
Figure 7.(Color online) Channelized RF frequencies at different channels.
Figure 8.(Color online) Extracted extinction ratio of channelized RF signals.
Although thermal tuning does not result in the channelization of the full RF spectrum simultaneously, it nevertheless allowed us to show the potential of our work. In fact, thermal tuning is not necessary, as long as the frequency increment between nearest wavelength channels (resulting from the FSR difference between the microcomb and passive MRRs) is comparable to the spectral resolution (the –20 dB linewidth of the passive MRR), which can be achieved through accurate lithographic control of the MRR FSRs. One should, for example, design δOFC = 200 GHz for the passive MRR so that δMRR = 199 GHz, still with a 1 GHz 20 dB bandwidth. Hence, the RF spectrum could be fully and simultaneously channelized and detected with a 1 GHz resolution without the use of thermal tuning. While the product of channel number and resolution – the RF bandwidth – would be a bit less than the device demonstrated here, at 60 GHz with 60 wavelengths over the C and L bands, this could be increased by using a lower FSR comb (100 GHz versus 200 GHz for example). Finally, our approach generates RF outputs by using homodyne detection. In contrast, down-conversion of the RF channelized signal would require the use of heterodyne detection with a 2nd optical comb having a specifically designed FSR and offset, which has been demonstrated by recent breakthroughs in dual-comb spectrometers[
6. 49 GHz microcomb channelizer
In this section, we summarize the results for the photonic RF channelizer based on two MRRs having approximately matching FSRs at 49 GHz. This approach achieves significantly improved performance over the previous device based on a 200 GHz spaced microcomb. Here, the soliton crystal micro-comb is generated by the first MRR with a spacing equal to the FSR of 49 GHz, whereas the second MRR serves as a filter with approximately the same channel spacing. This has two main benefits. First, the smaller FSR of the soliton crystal comb source provides up to 92 wavelengths across the C-band. This results in a greatly increased instant RF bandwidth of 8.08 GHz – more than 22× that of the previous device[
Fig. 1(b) shows the setup of the broadband RF channelizer. As before, the microcomb was generated by driving the first MRR with a CW pump to induce parametric oscillation. The high 1 million Q factor of the MRR together with the high nonlinear FOM, and engineered waveguide anomalous dispersion, all contributed to achieving the parametric gain needed to produce the soliton crystal Kerr microcombs. The particular operation mode of the frequency comb was governed by the pump to resonance offset as well as the pump power. By tuning the optical pump laser wavelength from the blue to the red, a range of dynamic nonlinear states, including coherent solitons, could be achieved. As before, for a microcomb with N wavelengths at a spacing of δOFC, the optical frequency of the k-th (k = 1, 2, 3, …, 92) comb line is given by Eq. (1). As before, a WaveShaper optical spectral shaper flattened the channel powers. For the second module, the equalized comb lines were modulated via an electro-optic phase modulator to multicast the RF signal across all wavelengths. Next, the replicated RF signals imprinted on all comb lines were sampled by the passive MRR with an FSR of δMRR, and with a resolution determined by the 3 dB resonator linewidth. As before, this resulted in a staggered RF frequency step for the RF spectral segments across the wavelength channels described by Eq. (2).
We employed notch filtering and phase modulation in this device (using the transmitted signal from the through port of the passive MRR) to perform conversion from phase to intensity modulation. First, the phase modulation produced opposite phases for the lower and upper sidebands. Next, one of the sidebands was suppressed by the filter resonance notch, leaving the other unsuppressed sideband to beat with the optical carrier upon photodetection. This essentially converted the modulation format from phase to single-sideband intensity modulation. This process therefore resulted in N bandpass filters, each with a spectral resolution of ∆f determined by the passive MRR linewidth. The microwave center frequencies fRF(k) were given by the offset between the passive resonances and optical carriers [fMRR(k) – fOFC(k)] (Eq. (2)). Consequently, the RF input signal is demultiplexed into N segments at fRF(k), each with a bandwidth ∆f. This method doesn’t need separate physical paths for the local oscillator in order to achieve homodyne coherent detection, and therefore it is much more compact and stable than the first approach[
Both the passive and microcomb MRRs were fabricated in Hydex. The dispersion of the microcomb 49 GHz FSR MRR was tailored to be anomalous in the C-band to enable parametric oscillation. Further, a mode-crossing at ~1556 nm was engineered which could initiate the background wave required for soliton crystal generation. During comb generation, the pump power was boosted to ~ 2 W while the wavelength was swept manually from blue to red. As the detuning between the pump wavelength and the microcomb MRR’s resonance became small enough to ensure sufficient modulation-instability gain in the microcomb MRR, primary combs were initiated. As the detuning was changed further this was followed by soliton crystal microcombs. We observed distinctive ‘curtain’ soliton crystal optical spectra (Figs. 9(a) and 9(b)), a resulting from the interference of the circulating tightly-packed solitons around the ring[
Figure 9.(Color online) Optical spectrum of the generated soliton crystal microcomb with (a) 100 and (b) 40 nm span. (c) Flattened 92 comb lines.
Next, the power of the soliton crystal micro-comb wavelengths were equalized with a WaveShaper. The comb lines’ powers were accurately shaped by using a feedback control path monitored with an optical spectral analyzer that compared the theoretical channel powers, generating an error signal that was then used to set the WaveShaper loss, with the flattened comb spectrum shown in Fig. 9(c). The 92 flattened microcomb lines were then passed through a phase modulator in order to produce optical carriers, thus multicasting the input RF signal onto all wavelengths. The passive MRR then spectrally sliced the RF replicas. We used phase modulation combined with notch filters (the passive MRR through-port transmission) to translate the passive MRR high-Q resonances into the RF domain, after which the input RF signal spectrum was channelized into N = 92 channels, each centered at fRF(k), and each having a bandwidth of ∆f.
To quantify these experimental parameters, we measured the passive MRR transmission spectrum (Fig. 10(a)) with an incoherent broadband optical source, consisting of amplified spontaneous emission from an EDFA. Both TM and TE polarized resonances were observed, where it is seen that the channelized RF frequency fRF(k), calculated from the spacing between the comb line and adjacent passive resonance, successively decreases from the blue to red. The resulting RF channelized frequency (Fig. 10(b)) shows a total operation bandwidth of 8.4 and 3.8 GHz for TE and TM resonances, respectively, with a RF channelization step of 41.4 MHz (TM) and 89.5 MHz (TE) per channel. Since the channelization resolution – the linewidth of the passive resonances – was ~120 MHz, we used the TE passive resonances to obtain a larger bandwidth with lower adjacent-channel interference. By aligning the passive MRR’s input light polarization to the TE mode, the TM passive resonances weren’t excited and so they did not degrade the performance of the device. The dual polarization modes and birefringence of the MRRs are discussed in another work[
Figure 10.(Color online) (a) The measured optical spectrum of the micro-comb and drop-port transmission of passive MRRs. (b) Extracted channelized RF frequencies of the 92 channels, calculated from the spacing between the comb lines and the passive resonances. Note that the labelled channelized RF frequencies in (a) are adopted from accurate RF domain measurements using the Vector Network Analyzer, as shown in the next figure.
The RF spectrum was channelized into segments by the passive MRR, with each RF carried on a different wavelength, which were then de-multiplexed into spatial parallel paths and separately detected. We used a Vector RF Network Analyzer to characterize our channelizer performance. The experimental RF transmission spectra for 92 channels (Figs. 11(a) and 11(b)) verify the success of our method. Any imbalanced powers of the RF channels can be equalized by factoring the RF transmission spectra into the feedback comb shaping, with the error signal being generated by the difference in the ideal channel weights with the RF, rather than the optical, power. The SNR of the channelizer was 23.7 dB which was extracted from the RF transmission spectra. This can be improved by increasing the extinction of the periodic optical notch filter. For the MRRs, this can be realized through adjusting the coupling coefficient from the waveguide bus to the MRR.
Figure 11.(Color online) Measured RF transmission spectra of (a) the 92 channels and (b) zoom-in view of the first 4 channels. (b) Extracted channelized RF frequency and resolution. (d) Measured RF transmission spectra at different chip temperatures of the passive MRR.
The RF channel centre frequencies are shown in Fig. 11(c), exhibiting a channel increment of 87.5 MHz/channel, with a total instant RF bandwidth of 8.08 GHz. This agrees with theory based on the transmission spectrum of the MRRs. The average resolution of the RF channels, derived from the RF transmission spectrum 3dB bandwidth for each channel, was 121.4 MHz. This resulted from the high Q factors of the passive MRR. This high resolution greatly relaxed the demands on the ADCs bandwidth and verifies that our approach is compatible with the relatively small bandwidths of digital components.
7. Discussion
The device based on the 49GHz soliton crystal microcomb had moderately higher adjacent-channel crosstalk. This arose mainly because of the slight difference between the RF resolution (121.4 MHz) and the channelization step (87.5 MHz). Ideally these should be equal. Nonetheless, while this situation of a channel step being less than the resolution is not perfect, any residual channel crosstalk could be eliminated by discarding redundant channels. Fine tuning the FSR of the passive MRR during fabrication would increase the RF channelization step so that it could be designed to be equal to the RF resolution. This would simultaneously result in a larger instantaneous bandwidth of 121.4 MHz × 92 = 11.17 GHz. Moreover, a much flatter passband and higher roll-off than the natural Lorentzian profile of a single MRR can be realized by using high-order optical filters[
Lastly, by thermally tuning the passive MRR, the soliton crystal channelizer’s operation bandwidth can be made tunable over a wider range. The offset between the comb and filter MRRs’ resonances (fMRR(1) – fOFC(1)) can be thermally controlled on a timescale of milliseconds. As shown in Fig. 11(d), we shifted the instantaneous operating band of the channelizer from 1.006–9.147 to 9.227–17.49 GHz, continuously covering a total RF bandwidth of 16.48 GHz, by tuning the chip temperature of the passive MRR. Although thermal tuning does modify the passive MRR FSR slightly, this effect was very small. Indeed, it was a factor of ~3955 × (193.4 THz/48.9 GHz) smaller than the relative change in the offset (fMRR(1) – fOFC(1)). The change in the comb line to MRR offset (ie., fMRR(1) – fOFC(1)) resulting from thermal tuning was 8.221 GHz, while the corresponding change in the passive MRR FSR (RF channelization step) was only 2.1 MHz, and so this did not affect the device performance.
Finally, even though the RF instantaneous operation bandwidth could be moved across a wide range with thermal tuning, the RF operational lower frequency was limited to ~ 600 MHz, arising from several effects. Thermal locking of the center filter resonance to the optical carrier wavelength[
8. Conclusions
We demonstrate broadband RF channelizers based on CMOS-compatible integrated optical frequency comb sources. Broadband 200 GHz-spaced Kerr combs as well as soliton crystal combs with a 49 GHz spacing are employed. Both combs provided a record large number of wavelength channels as well as a large RF operation bandwidth. The 200 GHz comb-based device has a large potential upper bandwidth of 100 GHz, although with a limited number of channels in the C-band, typically < 20. The soliton crystal device, on the other hand, because of its lower FSR of 49 GHz that closely matched the FSRs of the MRR passive filter, yielded up to 92 wavelengths over the C-band, resulting in high performance but a correspondingly lower instantaneous RF bandwidth of 8.08 GHz. A high 121.4 MHz RF spectral resolution was realized by using a high- Q passive MRR for the optical periodic filter for both devices. For the soliton crystal device, we used phase to intensity modulation format conversion to achieve stable signal detection without any requirement for separate local oscillator paths. Dynamic adjustment of the operation RF frequency range was accomplished for both devices with the use of thermal control of the passive MRRs, achieving RF operation of up to 17.49 GHz for the soliton crystal device. This device also resulted in a broadband channelization of RF frequencies in the range 1.7–19 GHz with a high 1 GHz spectral resolution, achieved by thermal tuning of the on-chip passive MRR with a Q factor of 1.549 × 106. These micro-comb based RF channelizers are highly attractive for broadband RF channelization with large channel numbers, high resolution, compact footprint, and potentially low cost. They feature many parallel channels and are very attractive solutions for broadband instantaneous signal detection and processing. They represent a key step towards fully integrated photonic receivers for modern RF systems.
References
[1]
[2] J Leuthold, C Koos, W Freude. Nonlinear silicon photonics. Nat Photonics, 4, 535(2010).
[3] L Li, P G Patki, Y B Kwon et al. All-optical regenerator of multi-channel signals. Nat Commun, 8, 884(2017).
[4] F Li, T D Vo, C Husko et al. All-optical XOR logic gate for 40Gb/s DPSK signals via FWM in a silicon nanowire. Opt Express, 19, 20364(2011).
[5] F Li, M Pelusi, B J Eggleton et al. Error-free all-optical demultiplexing at 160Gb/s via FWM in a silicon nanowire. Opt Express, 18, 3905(2010).
[6] H Ji, M Galili, H Hu et al. 1.28-Tb/s demultiplexing of an OTDM DPSK data signal using a silicon waveguide. IEEE Photonics Technol Lett, 22, 1762(2010).
[7] C Monat, C Grillet, B Corcoran et al. Investigation of phase matching for third-harmonic generation in silicon slow light photonic crystal waveguides using Fourier optics. Opt Express, 18, 6831(2010).
[8] B Corcoran, C Monat, M Pelusi et al. Optical signal processing on a silicon chip at 640Gb/s using slow-light. Opt Express, 18, 7770(2010).
[9] V G Ta’eed, M Shokooh-Saremi, L B Fu et al. Integrated all-optical pulse regenerator in chalcogenide waveguides. Opt Lett, 30, 2900(2005).
[10] M Rochette, J N Kutz, J L Blows et al. Bit-error-ratio improvement with 2R optical regenerators. IEEE Photonics Technol Lett, 17, 908(2005).
[11] M Ferrera, C Reimer, A Pasquazi et al. CMOS compatible integrated all-optical radio frequency spectrum analyzer. Opt Express, 22, 21488(2014).
[12] C Monat, C Grillet, M Collins et al. Integrated optical auto-correlator based on third-harmonic generation in a silicon photonic crystal waveguide. Nat Commun, 5, 3246(2014).
[13] F Li, M Pelusi, D X Xu et al. All-optical wavelength conversion for 10 Gb/s DPSK signals in a silicon ring resonator. Opt Express, 19, 22410(2011).
[14] T D Vo, B Corcoran, J Schroder et al. Silicon-chip-based real-time dispersion monitoring for 640 Gbit/s DPSK signals. J Lightwave Technol, 29, 1790(2011).
[15] M Ferrera, Y Park, L Razzari et al. All-optical 1st and 2nd order integration on a chip. Opt Express, 19, 23153(2011).
[16] B Corcoran, T D Vo, M D Pelusi et al. Silicon nanowire based radio-frequency spectrum analyzer. Opt Express, 18, 20190(2010).
[17] B Corcoran, C Monat, C Grillet et al. Green light emission in silicon through slow-light enhanced third-harmonic generation in photonic-crystal waveguides. Nat Photonics, 3, 206(2009).
[18] D J Moss, H M van Driel, J E Sipe. Dispersion in the anisotropy of optical third-harmonic generation in silicon. Opt Lett, 14, 57(1989).
[19] J Sipe, D Moss, H van Driel. Phenomenological theory of optical second- and third-harmonic generation from cubic centrosymmetric crystals. Phys Rev B, 35, 1129(1987).
[20] D J Moss, E Ghahramani, J E Sipe et al. Band-structure calculation of dispersion and anisotropy in χ→(3) for third-harmonic generation in Si, Ge, and GaAs. Phys Rev B, 41, 1542(1990).
[21] D J Moss, H M van Driel, J E Sipe. Third harmonic generation as a structural diagnostic of ion-implanted amorphous and crystalline silicon. Appl Phys Lett, 48, 1150(1986).
[22] D J Moss, L Fu, I Littler et al. Ultrafast all-optical modulation via two-photon absorption in silicon-on-insulator waveguides. Electron Lett, 41, 320(2005).
[23] M R E Lamont, M Rochette, D J Moss et al. Two-photon absorption effects on self-phase-modulation-based 2R optical regeneration. IEEE Photonics Technol Lett, 18, 1185(2006).
[24] A Tuniz, G Brawley, D J Moss et al. Two-photon absorption effects on Raman gain in single mode As2Se3 chalcogenide glass fiber. Opt Express, 16, 18524(2008).
[25] M D Pelusi, F Luan, E Magi et al. High bit rate all-optical signal processing in a fiber photonic wire. Opt Express, 16, 11506(2008).
[26] M W Lee, C Grillet, C L C Smith et al. Photosensitive post tuning of chalcogenide photonic crystal waveguides. Opt Express, 15, 1277(2007).
[27] S Tomljenovic-Hanic, M J Steel, C Martijn de Sterke et al. High-Q cavities in photosensitive photonic crystals. Opt Lett, 32, 542(2007).
[28] C Grillet, C Monat, C L Smith et al. Nanowire coupling to photonic crystal nanocavities for single photon sources. Opt Express, 15, 1267(2007).
[29] V Ta'Eed, N J Baker, L B Fu et al. Ultrafast all-optical chalcogenide glass photonic circuits. Opt Express, 15, 9205(2007).
[30] D Freeman, C Grillet, M W Lee et al. Chalcogenide glass photonic crystals. Photonics and Nanostructures-Fundamentals and Applications, 6, 3(2008).
[31] C Grillet, D Freeman, B Luther-Davies et al. Characterization and modeling of Fano resonances in chalcogenide glass photonic crystal membranes. 2006 Conf Lasers Electro-Opt 2006 Quantum Electron Laser Sci Conf, 1(2006).
[32] V G Ta'Eed, M Shokooh-Saremi, L Fu et al. Self-phase modulation-based integrated optical regeneration in chalcogenide waveguides. IEEE J Sel Top Quantum Electron, 12, 360(2006).
[33] M Shokooh-Saremi, V G Ta'Eed, N J Baker et al. High-performance Bragg gratings in chalcogenide rib waveguides written with a modified Sagnac interferometer. J Opt Soc Am B, 23, 1323(2006).
[34] M R E Lamont, V G Ta'Eed, M A F Roelens et al. Error-free wavelength conversion via cross-phase modulation in 5 cm of As2S3 chalcogenide glass rib waveguide. Electron Lett, 43, 945(2007).
[35] K Ikeda, R E Saperstein, N Alic et al. Thermal and Kerr nonlinear properties of plasma-deposited silicon nitride/silicon dioxide waveguides. Opt Express, 16, 12987(2008).
[36] J S Levy, A Gondarenko, M A Foster et al. CMOS-compatible multiple-wavelength oscillator for on-chip optical interconnects. Nat Photonics, 4, 37(2010).
[37] L Razzari, D Duchesne, M Ferrera et al. CMOS-compatible integrated optical hyper-parametric oscillator. Nat Photonics, 4, 41(2010).
[38] D J Moss, R Morandotti, A L Gaeta et al. New CMOS-compatible platforms based on silicon nitride and Hydex for nonlinear optics. Nat Photonics, 7, 597(2013).
[39] M Ferrera, L Razzari, D Duchesne et al. Low-power continuous-wave nonlinear optics in doped silica glass integrated waveguide structures. Nat Photonics, 2, 737(2008).
[40] A Pasquazi, M Peccianti, Y Park et al. Sub-picosecond phase-sensitive optical pulse characterization on a chip. Nat Photonics, 5, 618(2011).
[41] D Duchesne, M Peccianti, M R E Lamont et al. Supercontinuum generation in a high index doped silica glass spiral waveguide. Opt Express, 18, 923(2010).
[42] M Ferrera, Y Park, L Razzari et al. On-chip CMOS-compatible all-optical integrator. Nat Commun, 1, 29(2010).
[43] A Pasquazi, R Ahmad, M Rochette et al. All-optical wavelength conversion in an integrated ring resonator. Opt Express, 18, 3858(2010).
[44] A Pasquazi, Y Park, J Azaña et al. Efficient wavelength conversion and net parametric gain via four wave mixing in a high index doped silica waveguide. Opt Express, 18, 7634(2010).
[45] M Peccianti, M Ferrera, L Razzari et al. Subpicosecond optical pulse compression via an integrated nonlinear chirper. Opt Express, 18, 7625(2010).
[46] D Duchesne, M Ferrera, L Razzari et al. Efficient self-phase modulation in low loss, high index doped silica glass integrated waveguides. Opt Express, 17, 1865(2009).
[47] A Pasquazi, M Peccianti, L Razzari et al. Micro-combs: A novel generation of optical sources. Phys Rep, 729, 1(2018).
[48] P Del’Haye, A Schliesser, O Arcizet et al. Optical frequency comb generation from a monolithic microresonator. Nature, 450, 1214(2007).
[49] M Peccianti, A Pasquazi, Y Park et al. Demonstration of an ultrafast nonlinear microcavity modelocked laser. Nat Commun, 3, 765(2012).
[50] M Kues, C Reimer, B Wetzel et al. Passively mode-locked laser with an ultra-narrow spectral width. Nat Photonics, 11, 159(2017).
[51] A Pasquazi, L Caspani, M Peccianti et al. Self-locked optical parametric oscillation in a CMOS compatible microring resonator: A route to robust optical frequency comb generation on a chip. Opt Express, 21, 13333(2013).
[52] A Pasquazi, M Peccianti, B E Little et al. Stable, dual mode, high repetition rate mode-locked laser based on a microring resonator. Opt Express, 20, 27355(2012).
[53] C Reimer, L Caspani, M Clerici et al. Integrated frequency comb source of heralded single photons. Opt Express, 22, 6535(2014).
[54] C Reimer, M Kues, L Caspani et al. Cross-polarized photon-pair generation and bi-chromatically pumped optical parametric oscillation on a chip. Nat Commun, 6, 8236(2015).
[55] L Caspani, C Reimer, M Kues et al. Multifrequency sources of quantum correlated photon pairs on-chip: A path toward integrated Quantum Frequency Combs. Nanophotonics, 5, 351(2016).
[56] C Reimer, M Kues, P Roztocki et al. Generation of multiphoton entangled quantum states by means of integrated frequency combs. Science, 351, 1176(2016).
[57] M Kues, C Reimer, P Roztocki et al. On-chip generation of high-dimensional entangled quantum states and their coherent control. Nature, 546, 622(2017).
[58] P Roztocki, M Kues, C Reimer et al. Practical system for the generation of pulsed quantum frequency combs. Opt Express, 25, 18940(2017).
[59] Y B Zhang, M Kues, P Roztocki et al. Induced photon correlations through the overlap of two four-wave mixing processes in integrated cavities. Laser Photonics Rev, 14, 2000128(2020).
[60] M Kues, C Reimer, J M Lukens et al. Quantum optical microcombs. Nature Photon, 13, 170(2019).
[61] C Reimer, S Sciara, P Roztocki et al. High-dimensional one-way quantum processing implemented on d-level cluster states. Nat Phys, 15, 148(2019).
[62] P Marin-Palomo, J N Kemal, M Karpov et al. Microresonator-based solitons for massively parallel coherent optical communications. Nature, 546, 274(2017).
[63] J Pfeifle, V Brasch, M Lauermann et al. Coherent terabit communications with microresonator Kerr frequency combs. Nat Photonics, 8, 375(2014).
[64] B Corcoran, M X Tan, X Y Xu et al. Ultra-dense optical data transmission over standard fibre with a single chip source. Nat Commun, 11, 1(2020).
[65] X Y Xu, M X Tan, B Corcoran et al. Photonic perceptron based on a kerr microcomb for high-speed, scalable, optical neural networks. Laser Photonics Rev, 14, 2000070(2020).
[66] X Y Xu, M X Tan, B Corcoran et al. 11 TOPS photonic convolutional accelerator for optical neural networks. Nature, 589, 44(2021).
[67]
[68] D T Spencer, T Drake, T C Briles et al. An optical-frequency synthesizer using integrated photonics. Nature, 557, 81(2018).
[69] T J Kippenberg, A L Gaeta, M Lipson et al. Dissipative Kerr solitons in optical microresonators. Science, 361, eaan8083(2018).
[70] A L Gaeta, M Lipson, T J Kippenberg. Photonic-chip-based frequency combs. Nat Photonics, 13, 158(2019).
[71] P Del’Haye, T Herr, E Gavartin et al. Octave spanning tunable frequency comb from a microresonator. Phys Rev Lett, 107, 063901(2011).
[72] T J Kippenberg, R Holzwarth, S A Diddams. Microresonator-based optical frequency combs. Science, 332, 555(2011).
[73] T Herr, V Brasch, J D Jost et al. Temporal solitons in optical microresonators. Nat Photonics, 8, 145(2014).
[74] F Ferdous, H X Miao, D E Leaird et al. Spectral line-by-line pulse shaping of on-chip microresonator frequency combs. Nat Photonics, 5, 770(2011).
[75] X X Xue, P H Wang, Y Xuan et al. Microresonator Kerr frequency combs with high conversion efficiency. Laser Photonics Rev, 11, 1600276(2017).
[76] X X Xue, M H Qi, A M Weiner. Normal-dispersion microresonator Kerr frequency combs. Nanophotonics, 5, 244(2016).
[77] C Grillet, L Carletti, C Monat et al. Amorphous silicon nanowires combining high nonlinearity, FOM and optical stability. Opt Express, 20, 22609(2012).
[78] J W Choi, B U Sohn, G F R Chen et al. Soliton-effect optical pulse compression in CMOS-compatible ultra-silicon-rich nitride waveguides. APL Photonics, 4, 110804(2019).
[79] J Capmany, D Novak. Microwave photonics combines two worlds. Nat Photonics, 1, 319(2007).
[80] J P Yao. Microwave photonics. J Lightwave Technol, 27, 314(2009).
[81] D Marpaung, J P Yao, J Capmany. Integrated microwave photonics. Nat Photonics, 13, 80(2019).
[82] J Azaña. Ultrafast analog all-optical signal processors based on fiber-grating devices. IEEE Photonics J, 2, 359(2010).
[83] J Capmany, B Ortega, D Pastor. A tutorial on microwave photonic filters. J Lightwave Technol, 24, 201(2006).
[84] V R Supradeepa, C M Long, R Wu et al. Comb-based radiofrequency photonic filters with rapid tunability and high selectivity. Nat Photonics, 6, 186(2012).
[85] J Y Wu, X Y Xu, T G Nguyen et al. RF photonics: An optical microcombs’ perspective. IEEE J Sel Top Quantum Electron, 24, 1(2018).
[86] V Torres-Company, A M Weiner. Optical frequency comb technology for ultra-broadband radio-frequency photonics. Laser Photonics Rev, 8, 368(2014).
[87] Z Jiang, C B Huang, D E Leaird et al. Optical arbitrary waveform processing of more than 100 spectral comb lines. Nat Photonics, 1, 463(2007).
[88] Y Liu, J Hotten, A Choudhary et al. All-optimized integrated RF photonic notch filter. Opt Lett, 42, 4631(2017).
[89] Y Liu, D Marpaung, A Choudhary et al. Link performance optimization of chip-based Si3N4 microwave photonic filters. J Lightwave Technol, 36, 4361(2018).
[90] Y Liu, Y Yu, S X Yuan et al. Tunable megahertz bandwidth microwave photonic notch filter based on a silica microsphere cavity. Opt Lett, 41, 5078(2016).
[91] D Marpaung, B Morrison, M Pagani et al. Low-power, chip-based stimulated Brillouin scattering microwave photonic filter with ultrahigh selectivity. Optica, 2, 76(2015).
[92] A Choudhary, B Morrison, I Aryanfar et al. Advanced integrated microwave signal processing with giant on-chip Brillouin gain. J Lightwave Technol, 35, 846(2017).
[93] D Marpaung, B Morrison, R Pant et al. Frequency agile microwave photonic notch filter with anomalously high stopband rejection. Opt Lett, 38, 4300(2013).
[94] X Q Zhu, F Y Chen, H F Peng et al. Novel programmable microwave photonic filter with arbitrary filtering shape and linear phase. Opt Express, 25, 9232(2017).
[95] F Jiang, Y Yu, H T Tang et al. Tunable bandpass microwave photonic filter with ultrahigh stopband attenuation and skirt selectivity. Opt Express, 24, 18655(2016).
[96] Z J Zhu, H Chi, T Jin et al. All-positive-coefficient microwave photonic filter with rectangular response. Opt Lett, 42, 3012(2017).
[97] G Yu, W Zhang, J A R Williams. High-performance microwave transversal filter using fiber Bragg grating arrays. IEEE Photonics Technol Lett, 12, 1183(2000).
[98] J S Leng, W Zhang, J A R Williams. Optimization of superstructured fiber Bragg gratings for microwave photonic filters response. IEEE Photonics Technol Lett, 16, 1736(2004).
[99] D B Hunter, R A Minasian, P A Krug. Tunable optical transversal filter based on chirped gratings. Electron Lett, 31, 2205(1995).
[100] E Hamidi, D E Leaird, A M Weiner. Tunable programmable microwave photonic filters based on an optical frequency comb. IEEE Trans Microw Theory Tech, 58, 3269(2010).
[101] R Wu, V R Supradeepa, C M Long et al. Generation of very flat optical frequency combs from continuous-wave lasers using cascaded intensity and phase modulators driven by tailored radio frequency waveforms. Opt Lett, 35, 3234(2010).
[102] S Mansoori, A Mitchell. RF transversal filter using an AOTF. IEEE Photonics Technol Lett, 16, 879(2004).
[103] M Delgado-Pinar, J Mora, A Díez et al. Tunable and reconfigurable microwave filter by use of a Bragg-grating-based acousto-optic superlattice modulator. Opt Lett, 30, 8(2005).
[104] W Li, J Yao. Optical frequency comb generation based on repeated frequency shifting using two Mach-Zehnder modulators and an asymmetric Mach-Zehnder interferometer. Opt Express, 17, 23712(2009).
[105] C H Chen, C He, D Zhu et al. Generation of a flat optical frequency comb based on a cascaded polarization modulator and phase modulator. Opt Lett, 38, 3137(2013).
[106] T Saitoh, M Kourogi, M Ohtsu. An optical frequency synthesizer using a waveguide-type optical frequency comb generator at 1.5-
[107] T G Nguyen, M Shoeiby, S T Chu et al. Integrated frequency comb source based Hilbert transformer for wideband microwave photonic phase analysis. Opt Express, 23, 22087(2015).
[108] X X Xue, Y Xuan, H J Kim et al. Programmable single-bandpass photonic RF filter based on kerr comb from a microring. J Lightwave Technol, 32, 3557(2014).
[109] X Y Xu, J Y Wu, M Shoeiby et al. Reconfigurable broadband microwave photonic intensity differentiator based on an integrated optical frequency comb source. APL Photonics, 2, 096104(2017).
[110] X Y Xu, M X Tan, J Y Wu et al. Microcomb-based photonic RF signal processing. IEEE Photonics Technol Lett, 31, 1854(2019).
[111] X Y Xu, J Y Wu, T G Nguyen et al. Advanced RF and microwave functions based on an integrated optical frequency comb source. Opt Express, 26, 2569(2018).
[112] X X Xue, Y Xuan, C Y Bao et al. Microcomb-based true-time-delay network for microwave beamforming with arbitrary beam pattern control. J Lightwave Technol, 36, 2312(2018).
[113] X Y Xu, J Y Wu, T G Nguyen et al. Broadband RF channelizer based on an integrated optical frequency kerr comb source. J Lightwave Technol, 36, 4519(2018).
[114] X Y Xu, J Y Wu, L N Jia et al. Continuously tunable orthogonally polarized RF optical single sideband generator based on micro-ring resonators. J Opt, 20, 115701(2018).
[115] X Y Xu, J Y Wu, M X Tan et al. Orthogonally polarized RF optical single sideband generation and dual-channel equalization based on an integrated microring resonator. J Lightwave Technol, 36, 4808(2018).
[116] X Y Xu, J Y Wu, T G Nguyen et al. Photonic microwave true time delays for phased array antennas using a 49 GHz FSR integrated optical micro-comb source. Photon Res, 6, B30(2018).
[117] X Y Xu, M X Tan, J Y Wu et al. Advanced adaptive photonic RF filters with 80 taps based on an integrated optical micro-comb source. J Lightwave Technol, 37, 1288(2019).
[118] W Liang, D Eliyahu, V S Ilchenko et al. High spectral purity Kerr frequency comb radio frequency photonic oscillator. Nat Commun, 6, 7957(2015).
[119] J Q Liu, E Lucas, A S Raja et al. Photonic microwave generation in the X- and K-band using integrated soliton microcombs. Nat Photonics, 14, 486(2020).
[120] X Y Xu, J Y Wu, M X Tan et al. Broadband microwave frequency conversion based on an integrated optical micro-comb source. J Lightwave Technol, 38, 332(2020).
[121] M X Tan, X Y Xu, J Y Wu et al. Photonic RF and microwave filters based on 49 GHz and 200 GHz Kerr microcombs. Opt Commun, 465, 125563(2020).
[122] X Y Xu, M X Tan, J Y Wu et al. Broadband photonic RF channelizer with 92 channels based on a soliton crystal microcomb. J Lightwave Technol, 38, 5116(2020).
[123] X Xu, M Tan, J Wu et al. Photonic RF and microwave integrator based on a transversal filter with soliton crystal microcombs. IEEE Trans Circuits ad Syst II, 67, 3582(2020).
[124] X Y Xu, M X Tan, J Wu et al. Photonic RF phase-encoded signal generation with a microcomb source. J Lightwave Technol, 38, 1722(2020).
[125] X Y Xu, M X Tan, J Y Wu et al. High performance RF filters via bandwidth scaling with Kerr micro-combs. APL Photonics, 4, 026102(2019).
[126] M X Tan, X Y Xu, B Corcoran et al. Microwave and RF photonic fractional Hilbert transformer based on a 50 GHz Kerr micro-comb. J Lightwave Technol, 37, 6097(2019).
[127] M X Tan, X Y Xu, B Corcoran et al. RF and microwave fractional differentiator based on photonics. IEEE Trans Circuits Syst II, 67, 2767(2020).
[128] M X Tan, X Y Xu, A Boes et al. Photonic RF arbitrary waveform generator based on a soliton crystal micro-comb source. J Lightwave Technol, 38, 6221(2020).
[129] M X Tan, X Y Xu, J Y Wu et al. RF and microwave photonic temporal signal processing with Kerr micro-combs. Adv Phys X, 6, 1838946(2021).
[130] D C Cole, E S Lamb, P Del’Haye et al. Soliton crystals in Kerr resonators. Nat Photonics, 11, 671(2017).
[131] W Q Wang, Z Z Lu, W F Zhang et al. Robust soliton crystals in a thermally controlled microresonator. Opt Lett, 43, 2002(2018).
[132] B Stern, X Ji, Y Okawachi et al. Battery-operated integrated frequency comb generator. Nature, 562, 401(2018).
[133] X X Xue, Y Xuan, Y Liu et al. Mode-locked dark pulse Kerr combs in normal-dispersion microresonators. Nat Photonics, 9, 594(2015).
[134] H L Bao, A Cooper, M Rowley et al. Laser cavity-soliton microcombs. Nat Photonics, 13, 384(2019).
[135] X X Xue, X P Zheng, B K Zhou. Super-efficient temporal solitons in mutually coupled optical cavities. Nat Photonics, 13, 616(2019).
[136] H Zhou, Y Geng, W W Cui et al. Soliton bursts and deterministic dissipative Kerr soliton generation in auxiliary-assisted microcavities. Light: Sci Appl, 8, 1(2019).
[137] H L Bao, L Olivieri, M Rowley et al. Turing patterns in a fiber laser with a nested microresonator: Robust and controllable microcomb generation. Phys Rev Res, 2, 023395(2020).
[138] L di Lauro, J Li, D J Moss et al. Parametric control of thermal self-pulsation in micro-cavities. Opt Lett, 42, 3407(2017).
[139] H L Bao, A Cooper, S T Chu et al. Type-II micro-comb generation in a filter-driven four wave mixing laser. Photon Res, 6, B67(2018).
[140] B Q Shen, L Chang, J Q Liu et al. Integrated turnkey soliton microcombs. Nature, 582, 365(2020).
[141] S L Pan, J P Yao. Photonics-based broadband microwave measurement. J Lightwave Technol, 35, 3498(2017).
[142] J Azana, C Madsen, K Takiguchi et al. Guest editorial optical signal processing. J Lightwave Technol, 24, 2484(2006).
[143] D Marpaung, M Pagani, B Morrison et al. Nonlinear integrated microwave photonics. J Lightwave Technol, 32, 3421(2014).
[144] R A Minasian. Ultra-wideband and adaptive photonic signal processing of microwave signals. IEEE J Quantum Electron, 52, 1(2016).
[145] X H Zou, B Lu, W Pan et al. Photonics for microwave measurements. Laser Photonics Rev, 10, 711(2016).
[146] K Xu, R X Wang, Y T Dai et al. Microwave photonics: Radio-over-fiber links, systems, and applications. Photon Res, 2, B54(2014).
[147] S L Pan, D Zhu, S F Liu et al. Satellite payloads pay off. IEEE Microwave, 16, 61(2015).
[148] H W Chen, R Y Li, C Lei et al. Photonics-assisted serial channelized radio-frequency measurement system with nyquist-bandwidth detection. IEEE Photonics J, 6, 1(2014).
[149] X J Xie, Y T Dai, Y Ji et al. Broadband photonic radio-frequency channelization based on a 39-GHz optical frequency comb. IEEE Photonics Technol Lett, 24, 661(2012).
[150] W S Wang, R L Davis, T J Jung et al. Characterization of a coherent optical RF channelizer based on a diffraction grating. IEEE Trans Microw Theory Tech, 49, 1996(2001).
[151] W T Rhodes. Acousto-optic signal processing: Convolution and correlation. Proc IEEE, 69, 65(1981).
[152] D B Hunter, L G Edvell, M A Englund. Wideband microwave photonic channelised receiver. 2005 International Topical Meeting on Microwave Photonics, 249(2005).
[153] S T Winnall, A C Lindsay, M W Austin et al. A microwave channelizer and spectroscope based on an integrated optical Bragg-grating Fabry-Perot and integrated hybrid Fresnel lens system. IEEE Trans Microw Theory Tech, 54, 868(2006).
[154] W Y Xu, D Zhu, S L Pan. Coherent photonic radio frequency channelization based on dual coherent optical frequency combs and stimulated Brillouin scattering. Opt Eng, 55, 046106(2016).
[155] X H Zou, W Z Li, W Pan et al. Photonic-assisted microwave channelizer with improved channel characteristics based on spectrum-controlled stimulated Brillouin scattering. IEEE Trans Microw Theory Tech, 61, 3470(2013).
[156] C S Bres, S Zlatanovic, A O J Wiberg et al. Parametric photonic channelized RF receiver. IEEE Photon Technol Lett, 23, 344(2011).
[157] A O J Wiberg, D J Esman, L Liu et al. Coherent filterless wideband microwave/millimeter-wave channelizer based on broadband parametric mixers. J Lightwave Technol, 32, 3609(2014).
[158] X H Zou, W Pan, B Luo et al. Photonic approach for multiple-frequency-component measurement using spectrally sliced incoherent source. Opt Lett, 35, 438(2010).
[159]
[160] X J Xie, Y T Dai, K Xu et al. Broadband photonic RF channelization based on coherent optical frequency combs and I/Q demodulators. IEEE Photonics J, 4, 1196(2012).
[161] Z Li, X M Zhang, H Chi et al. A reconfigurable microwave photonic channelized receiver based on dense wavelength division multiplexing using an optical comb. Opt Commun, 285, 2311(2012).
[162] R Y Li, H W Chen, Y Yu et al. Multiple-frequency measurement based on serial photonic channelization using optical wavelength scanning. Opt Lett, 38, 4781(2013).
[163] W H Hao, Y T Dai, F F Yin et al. Chirped-pulse-based broadband RF channelization implemented by a mode-locked laser and dispersion. Opt Lett, 42, 5234(2017).
[164] T Herr, K Hartinger, J Riemensberger et al. Universal formation dynamics and noise of Kerr-frequency combs in microresonators. Nat Photonics, 6, 480(2012).
[165] L Caspani, C Xiong, B Eggleton et al. On-chip sources of quantum correlated and entangled photons. Light Sci Appl, 6, e17100(2017).
[166] F da Ros, E Porto da Silva, D Zibar et al. Wavelength conversion of QAM signals in a low loss CMOS compatible spiral waveguide. APL Photonics, 2, 046105(2017).
[167] X X Xue, A M Weiner. Microwave photonics connected with microresonator frequency combs. Front Optoelectron, 9, 238(2016).
[168] S Coen, H G Randle, T Sylvestre et al. Modeling of octave-spanning Kerr frequency combs using a generalized mean-field Lugiato–Lefever model. Opt Lett, 38, 37(2012).
[169] Y K Chembo, C R Menyuk. Spatiotemporal Lugiato-Lefever formalism for Kerr-comb generation in whispering-gallery-mode resonators. Phys Rev A, 87, 053852(2013).
[170] H Guo, M Karpov, E Lucas et al. Universal dynamics and deterministic switching of dissipative Kerr solitons in optical microresonators. Nat Phys, 13, 94(2017).
[171] X X Xue, Y Xuan, C Wang et al. Thermal tuning of Kerr frequency combs in silicon nitride microring resonators. Opt Express, 24, 687(2016).
[172] B Bernhardt, A Ozawa, P Jacquet et al. Cavity-enhanced dual-comb spectroscopy. Nat Photonics, 4, 55(2010).
[173] T Ideguchi, A Poisson, G Guelachvili et al. Adaptive real-time dual-comb spectroscopy. Nat Commun, 5, 3375(2014).
[174] G Millot, S Pitois, M Yan et al. Frequency-agile dual-comb spectroscopy. Nat Photonics, 10, 27(2016).
[175] M G Suh, Q F Yang, K Y Yang et al. Microresonator soliton dual-comb spectroscopy. Science, 354, 600(2016).
[176] N G Pavlov, G Lihachev, S Koptyaev et al. Soliton dual frequency combs in crystalline microresonators. Opt Lett, 42, 514(2017).
[177] T C Briles, T E Drake, D T Spencer et al. Optical frequency synthesis using a dual-Kerr-microresonator frequency comb. Conference on Lasers and Electro-Optics, SW4N. 3(2017).
[178] B E Little, S T Chu, P P Absil et al. Very high-order microring resonator filters for WDM applications. IEEE Photon Technol Lett, 16, 2263(2004).
Set citation alerts for the article
Please enter your email address