
- Photonics Research
- Vol. 12, Issue 3, 465 (2024)
Abstract
1. INTRODUCTION
Distributed acoustic sensing (DAS) is a fiber optic sensing technology that enables the measurement of dynamic strain signals along fiber optic cables with high sensitivity [1,2]. It utilizes the phase of Rayleigh backscattering (RBS) light for sensing and relies on time-of-flight for locating. The DAS system consists of a sensing fiber, an interrogator, and a data processing unit. Due to the advantages of high robustness against harsh environments, long-distance and high-density sensing capabilities, and high-fidelity information acquisition, DAS has been positioned as a powerful tool in diverse research and industry applications, such as geophysics observation [3], infrastructure monitoring [4], vehicle tracking [5], and border security systems [6]. Currently, DAS instruments usually rely on discrete optical and electronic devices, leading to bulky and expensive interrogators, which may hinder the widespread adoption of this technology. In applications such as aeronautics or space equipment, strict size and weight restrictions make traditional bulky DAS systems unsuitable. And in fields like the Internet of Things (IoT), consumer electronics, and many other industrial applications, the relatively high-cost DAS instruments have not been a very affordable solution yet.
Photonic integration technology has emerged as a compelling solution for cost reduction and size minimization in electro-optic systems [7–9]. Over the past few decades, this technology has witnessed significant advances in the field of optical communication [10,11]. Besides, photonic integration technology can also facilitate the integration of various sensing systems. Notable examples include the on-chip spectrometer [12], integrated optical coherent tomography [13], integrated optical gyroscope [14], integrated fiber Bragg grating (FBG) interrogator [15], and on-chip biochemical sensor [16]. In terms of fiber optic sensing, photonic integration technology is employed to miniaturize the interrogator, which comprises a transmitter and a receiver. The current research on integrated interrogators for fiber optic sensing mainly focuses on FBG sensors [15,17,18], utilized for single-point or quasi-distributed sensing. On the other hand, for distributed optic-fiber sensing, Onbasli presented a design of an integrated non-coherent optical time domain reflectometry (OTDR) but has not completed tapeout [19], while Shishkin
In this work, we report the first demonstration of an integrated DAS interrogator. The interrogator is based on the silicon-on-insulator (SOI) platform [21,22], which is known for its high index contrast enabling a high level of integration. In addition, the SOI platform is CMOS-compatible to meet low-cost requirements. The integrated interrogator comprises a Mach–Zehnder modulator (MZM) transmitter and a dual-quadrature and dual-polarization coherent receiver, which share a common external light source. The setup also incorporates auxiliary optics, including a polarization controller (PC) and an adjustable beam splitter (BS). Such an integrated interrogator is compatible with major DAS schemes, among which the time-gated digital optical frequency domain reflectometry (TGD-OFDR) scheme is chosen for the DAS performance evaluation. For a 12.1 km sensing fiber, the DAS system based on the integrated interrogator realizes a strain resolution of
2. DESIGN OF THE INTEGRATED DAS INTERROGATOR
A. Design Considerations
Much research on DAS has been proposed based on various system configurations, from which some consensus on system architecture and design principles can be summarized. A DAS interrogator mainly includes a transmitter and a receiver. The transmitter generates a sequence of light pulses to interrogate the sensing fiber. A narrow linewidth continuous-wave (CW) laser is usually used as the light source, which cooperates with a modulator inside the transmitter. The receiver can share the CW laser as the local oscillator (LO) to implement the coherent heterodyne detection, which is a preferable and mainstream approach in DAS. Such architecture is the basis of the integrated DAS interrogator design.
The modulator plays a key role in the interrogator. It is known that the acousto-optic modulator (AOM) is a conventional option in DAS systems [23], primarily attributed to its inherent frequency shifting capability, high extinction ratio, and low insertion loss (IL). Despite these benefits, the integrated AOM based on the SOI platform is still immature [24,25]. In another aspect, electro-optical modulators (EOMs) are also compatible with DAS [26], providing wider modulation bandwidth to achieve higher system performance [27]. In addition, the silicon photonics EOM is fully developed [28–30], offering the feasibility to implement an integrated DAS interrogator. As for the selection between the micro-ring resonator (MRR) and the Mach–Zehnder interferometer (MZI), MRR-based modulators offer the advantage of a smaller footprint but are plagued by nonlinearity and limited thermal stability [31]. On the other hand, MZI-based EOMs have meticulous parameter balancing [21], making them a more suitable choice. There have been reports of DAS schemes using either MZMs (or called intensity modulators) or dual-parallel Mach–Zehnder modulators (DP-MZMs, often called QPSK or I/Q modulators) [26,32]. MZMs have sufficient performance and are relatively simple in signaling, while DP-MZMs support a wider range of modulation formats but require complex drive signals and configuration [33]. So, we select the MZM to implement the integrated DAS interrogator in this work.
The coherent receiver with balanced detection is apparently more suitable for DAS whose measurand is the optical phase, in comparison with the direct detection scheme. The advantages include compatibility with heterodyne detection, common-mode interference suppression, and thermal noise reduction. In addition, the orthogonal phase diversity receiving scheme (called I/Q detection) provides a complex heterodyne signal whose positive/negative frequency components are separated. This enables a comprehensive phase demodulation, especially for signals not analytical for which Hilbert transform will no longer be valid, for example, the intensity-modulated double-sideband signal generated by the MZM. In order to achieve a satisfactory performance under a long measurement range, the polarization diversity configuration is necessary to compensate for the polarization fading effect of the RBS [34]. Furthermore, key features, such as the operating point of the MZM, the optical path difference for phase diversity receiving, and the power of LO, should be kept adjustable for the sake of robustness.
The PIC design in this work is based on the above considerations. The DP-MZM-based DAS interrogator is also a reasonable alternative, and here we briefly discuss the PIC design of it. The use of DP-MZM in a DAS system is usually for a more complex or advanced modulation scheme. Since I/Q receivers are competent for any modulation formats by DP-MZM transmitters, a DP-MZM-based DAS PIC can be implemented by replacing the MZM with DP-MZM only and keeping all the others of the PIC in this work unchanged. One exception is that the DP-MZM is operating in single-sideband modulation mode. In such a condition, the I/Q receiving units can alternatively be simplified into bare balanced receivers, saving half of the channels in the post-stage analog and digitizer circuits. And associated controls should be taken to guarantee the proper bias points of the DP-MZM.
B. Interrogator Chip
An MZM-based integrated DAS interrogator is designed and implemented based on the aforementioned considerations. Figure 1(a) shows the microscope image of the PIC. It is fabricated on a standard 220 nm SOI platform with 3 μm upper oxide cladding and 3 μm buried oxide (BOX) through Advanced Micro Foundry’s (AMF) multi-project wafer (MPW) service [21]. The footprint of the whole chip is
Figure 1.(a) Microscope image of the photonic integrated circuit (PIC). (b) Schematic of the PIC. EC, edge coupler; PC, polarization controller; BS, beam splitter; MZM, Mach–Zehnder modulator; PBRS, polarization beam rotator splitter; MMI, multimode interferometer; BPD, balanced photodetector; LSI, low-speed electrical interface; HSI, high-speed electrical interface. “L”, “T”, and “R” denote the three edge couplers, serving as the input for the light source, the output for modulated laser pulses, and the input for RBS light, respectively. The arrangement of the elements and waveguides in the sketch is consistent with the chip in practice except for the electrical wires, while the aspect ratio is adjusted for a better view. (c)–(f) Magnified micrographs of the PC, MZM, 90° hybrid, and BPD.
A narrow linewidth CW laser enters the PIC from the “L” port and first passes the PC. When appropriately adjusted, the PC effectively converts input lights of any polarization state into the pure TE mode. The PC consists of two cascaded MZI structures whose phase difference of two arms can be adjusted by a thermo-optical phase shifter (TPS) [36], and a following polarization beam splitter (PBS) is used to strip out the TM mode light thoroughly. The magnified micrograph of the PC is shown in Fig. 1(c). The CW laser is then split by the BS into two beams: one is directed toward the MZM, while the other serves as the LO for the coherent receiver. Since the optimal power of the LO depends on multiple factors, such as the power of the light source, saturation power of the photodetector (PD), strength of the RBS light, and other
Figure 1(d) illustrates the MZM designed utilizing the provided design cells from the process design kit (PDK) of AMF [29]. Leveraging the plasma dispersion effect, the MZM exhibits a high enough bandwidth [21] to fulfill the requirements of DAS systems, which typically operate below 1 GHz. To achieve a balance, a compromise length of 3.8 mm is selected for the PN junction, resulting in an IL of approximately 5 dB and a half-wave voltage (
The RBS light from the sensing fiber enters the PIC from the “R” port. To accomplish the polarization diversity coherent detection, the PBRS performs polarization separation of RBS light, and the TM mode RBS light is converted into TE mode. The
The PIC is co-packed with a fiber array and a printed circuit board assembly (PCBA), as shown in Fig. 2. The PIC and the fiber array are fixed together through a simple packaging using ultraviolet curing, where the matching oil is required and should be carefully selected to minimize the coupling loss [35]. The fiber array provides connections for external optical devices. The PCBA contains electric connectors for bias, tuning, and modulation signals for the PIC, as well as four identical transimpedance amplifier (TIA) circuits. The overall footprint of the PCBA is
Figure 2.Image of the packaged PIC for the DAS interrogator.
C. DAS System Configuration
The integrated interrogator supports a variety of DAS modulation/demodulation schemes. We select the TGD-OFDR scheme to implement the DAS system [26]. By employing linear frequency modulated (LFM) pulses and match filtering demodulation technique, TGD-OFDR can achieve higher performance compared with classical DAS schemes such as the
Figure 3.Schematic of the DAS system based on TGD-OFDR. PIC, photonic integrated circuit; TIA, transimpedance amplifier; EDFA, erbium-doped fiber amplifier; PZT, piezoelectric transducer; SG, signal generator; LFM, linear frequency modulator; AWG, arbitrary waveform generator; DAQ, data acquisition card; DSP, digital signal processing.
The modulation signal can be expressed as
3. EXPERIMENT RESULTS
A. Basic Tests of the Interrogator Chip
Several preliminary tests are performed before the system-level experiment. The first test measures the IL of the path between the “L” port and the “T” port. During the measurement, the MZM is set at its peak point with
Tests on the receiver follow the configuration depicted in Fig. 4(a). The MZM is set to the peak point while no RF signal is applied. An external AOM introduces a perfect 80 MHz single frequency shift into the laser, and an external PC adjusts the laser entering the “R” port to contain TE and TM mode components in approximately equal power. For an ideal receiver, the
Figure 4.Experiment setup and results for tests on the receiver. (a) Schematic diagram of the test system. (b) Spectrum of
B. DAS Performance
The experiment setup is depicted in Fig. 3. The first DAS experiment takes 12.1 km of sensing fiber. PZT at the end of sensing fiber is driven by a 100 Hz sinusoidal signal and coiled with approximately 2 m of fiber. The repetition rate of the LFM pulses is 5 kHz, the gauge length is 0.819 m, and 300 temporally adjacent traces are recorded during the measurement. The configuration is similar to the previous work by the authors [26] for comparison. Figure 5(a) shows the demodulated RBS intensity traces after fading suppression, from which it can be seen that the overall signal-to-noise ratio (SNR) along the entire fiber is above 25 dB. The distance-time distribution of the differential phases is depicted in Fig. 5(b), and the applied vibration at the end of the sensing fiber can be discerned as shown in the inset figure. Figure 5(c) gives the calculated standard deviation (SD) of the differential phases along the fiber. The SR can be obtained from the inset figure in Fig. 5(c), which is 1.14 m, based on the definition of the average value of 10% to 90% rising edge and falling edge. The phase waveform at a distance of 12,104.18 m can be extracted from Fig. 5(b) and is presented in Fig. 5(d), and the corresponding power spectral density (PSD) is shown in Fig. 5(e). The peak at 100 Hz in the PSD curve consists well with the applied vibration. By averaging the PSD curve (in the unit of
Figure 5.Demodulation results for the 12.1 km sensing fiber. (a) Normalized intensity traces with polarization fading suppressed (green) and with fading (red and blue). (b) Distance–time distribution of the differential phases along the fiber, with a vibration applied at around 12.1 km. (c) Phase standard deviation (SD) trace along the fiber with a spatial resolution (SR) of 1.14 m. (d) Waveform of the 100 Hz vibration from 10 ms to 40 ms. (e) Power spectral density (PSD) of the measured variation. The self-noise level is shown as the red dashed line.
The second experiment takes 49.0 km sensing fiber and presets parameters corresponding to an SR of
Figure 6.Demodulation results for the 49.0 km sensing fiber. (a) Normalized intensity traces with polarization fading suppressed (green) and with fading (red and blue). (b) Distance–time distribution of the differential phases along the fiber, with a vibration applied at around 49.0 km. (c) Phase SD trace along the fiber with 3.78 m SR. (d) Waveform of the 100 Hz vibration from 40 ms to 70 ms. (e) PSD of the measured variation.
In order to investigate the DAS performance under the rather low SNR condition, we further extend the length of the sensing fiber to 74.1 km. The repetition rate of pulses is 1.2 kHz, and the gauge length keeps 4.01 m. A total of 96 adjacent traces are recorded in one measurement. Figure 7(a) shows the calculated strain resolution along the sensing fiber. It can be observed that beyond 50 km the strain resolution will evidently worsen as the distance increases. This is consistent with the experience in DAS systems based on discrete devices. Taking an empirical threshold of acceptable strain resolution of
Figure 7.Demodulation results for the 74.1 km sensing fiber. (a) Strain resolution distribution along the sensing fiber. (b) Waveform of the 100 Hz vibration from 10 ms to 50 ms.
The above results demonstrate the performance of the MZM-based integrated DAS interrogator. It is known that the cost of a DAS interrogator mainly includes the light source, the optical circuit, and the signal processing electronics. The proposed PIC shows great potential to reduce the cost of the optical circuit composed of commercial discrete devices, which is worth several thousand dollars in the current stage. By further developing it into a fully integrated DAS interrogator, not only would the integration level improve, but the cost could also be significantly reduced. At the current stage of the work, the light source, the optical amplifier, and the optical circulator are not integrated yet, due to the well-known obstacle that silicon does not have a direct bandgap nor is it nonreciprocal. Nonetheless, there are ongoing techniques such as hybrid integration, heterogeneous integration, and monolithic integration offering promising solutions [42,43]. Hybrid-integrated tunable external cavity lasers [44] show potential in meeting the linewidth requirements of DAS systems. The state-of-the-art heterogeneously integrated III-V-on-silicon amplifiers proposed by Van Gasse
The PIC shows expectable long-term stability during the laboratory test, which is mainly because high-power devices leading to severe heat dissipation or thermal gradient, or highly thermal-sensitive structures are not included, in the authors’ opinion. In harsh environments, the feedback tuning of photonic devices is an effective approach to compensate for the impact of environmental disturbances [49]. The dithering method can maintain the operating point stability of MZM [50], while various automatic polarization control algorithms have been proposed to realize integrated polarization stabilizers [51]. And I/Q imbalance solutions applied to discrete systems can provide ideas for on-chip hybrid stabilization [52,53]. Additionally, in terms of packaging, the introduction of a thermoelectric cooler (TEC) can enhance the temperature stability of the system. By further implementing the aforementioned approaches, the stability of the PIC can be improved.
4. CONCLUSION
We presented an integrated DAS interrogator based on the SOI platform, and to the best of our knowledge, it is the first realization of a dedicated PIC for DAS. This integrated DAS interrogator supports various DAS schemes, including the TGD-OFDR, which is taken for system performance evaluation. Strain resolution of
Acknowledgment
Acknowledgment. The authors thank Advanced Micro Foundry (AMF) for offering multi-project wafer (MPW) service.
References
[6] S. A. Aslangul. Detecting tunnels for border security based on fiber optical distributed acoustic sensor data using dbscan. Sensornets, 78-84(2020).
[10] S. Yamanaka, Y. Ikuma, T. Itoh. Silicon photonics coherent optical subassembly with eo and oe bandwidths of over 50 GHz. Optical Fiber Communication Conference, Th4A–4(2020).
[11] S. Yamanaka, Y. Nasu. Silicon photonics coherent optical subassembly for high-data-rate signal transmissions. Optical Fiber Communication Conference, Th5F–2(2021).
[20] V. Shishkin, K. Tanaka, H. Murayama. Proposal on miniaturization of distributed sensing system based on optical frequency domain reflectometry. Transdisciplinary Engineering for Complex Socio-technical Systems, 22-29(2019).
[27] J. Jiang, Z. Wang. Continuous chirped-wave phase-sensitive optical time-domain reflectometry: principles and demonstrations. 19th International Conference on Optical Communications and Networks (ICOCN), 1-3(2021).
[30] S. Saha, R. Roy, S. Pal. Performance analysis of an electrostatic doping assisted dual parallel Mach-Zehnder modulator. Advances in Smart Communication Technology and Information Processing: OPTRONIX 2020, 47-57(2021).
[36] M. Ma, K. Murray, M. Ye. Silicon photonic polarization receiver with automated stabilization for arbitrary input polarizations. CLEO: Science and Innovations, STu4G–8(2016).
[41] D. Chen, Q. Liu, Z. He. Distributed fiber-optic acoustic sensor with sub-nano strain resolution based on time-gated digital OFDR. Asia Communications and Photonics Conference, S4A–2(2017).

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