Light detection and ranging (lidar) has attracted significant interest as a sensing technology for its ability to achieve high-resolution imaging and wide-angle perception. However, conventional lidar systems, built with separate components, are often bulky, expensive, complex, and prone to instability. In contrast, solid-state lidar, based on silicon photonics technology, offers a solution with its compact size, less expense, low energy consumption, and improved reliability. However, achieving precise beam steering remains a critical challenge for integrated lidar systems. Various methods have been demonstrated for beam steering, which is one of the simplest and most efficient approaches that utilize wavelength tuning with a grating coupler antenna. In this review, we introduce the fundamental principle of optical phased array for beam steering and provide an overview of the recent advancements in integrated solid-state lidars utilizing orthogonal polarizations and counterpropagation to enhance beam-steering range and angular resolution.

- Chinese Optics Letters
- Vol. 22, Issue 9, 090011 (2024)
Abstract
1. Introduction
In various applications, the ability to precisely and swiftly alter the direction of light is crucial[1,2]. Among these technologies, lidar, for instance, plays a crucial role in future autonomous navigation systems by emitting lasers and analyzing reflected data to determine an object’s position, velocity, and other characteristics[3–11]. Unlike traditional radars such as microwave and millimeter wave radar, lidar offers significantly enhanced precision and extended scanning range[12,13]. It also boasts several advantages, such as reduced sensitivity to environmental lighting and resistance to electromagnetic interference. However, achieving efficient laser beam redirection becomes increasingly difficult, as commercial applications demand faster, smaller, and more efficient lidar systems[14]. Typically, lidar achieves angular resolution equal to or less than 0.1 mrad, range resolution down to 0.1 m, and velocity resolution up to 10 m/s. These capabilities enable lidar to generate precise three-dimensional (3D) point-cloud images through scanning. With their high coherence and directivity, lasers serve as ideal lidar sources, facilitating long-haul detection with extensive applications across autonomous driving, laser display, cartographic mapping of terrain and oceans, and free-space optical communication. In recent years, researchers have primarily focused on improving and expanding lidar’s scanning field of view (FOV), scanning resolution, and detection distance, predominantly by pursuing miniaturization and integration[15–19].
Lidar systems can be broadly categorized into three types: mechanical, hybrid solid-state, and solid-state[20–25]. Mechanical lidar uses expensive optics and a rotating or galvanometer system with mirrors or prisms attached to a mechanical actuator to provide a wide FOV, typically 360°[26]. Mechanical lidar structures can achieve large signal-to-noise ratios (SNRs) over a wide FOV but have several drawbacks, including large size, bulky design, high cost, reliability and maintenance issues, and sensitivity to vibration. Mechanical lidars almost always use pulsed laser sources. In addition, due to the inertia of the rotating components, it is characterized by high power consumption and is limited to a frequency of about 100 Hz. This has driven research interest towards solid-state beam-steering methods[27].
Unlike mechanical lidars, solid-state lidars have no moving mechanical parts and therefore have a smaller FOV. However, using multiple sensors and fusing their data, these systems can increase the FOV to a level comparable to that of mechanical lidar. Solid-state lidars fall into two main categories: microelectromechanical systems (MEMS) scanners, which use electromagnetic or piezoelectric actuators to drive micromirrors to scan the FOV, usually supported by extended optics; and optical phased arrays (OPAs), which point beams based on the principle of multibeam interference with optical antenna arrays. MEMS lidars are lightweight, compact in design, and consume low power, and therefore are increasingly used in automotive, transportation, robotics, and space exploration. OPA lidars, like the MEMS structure, do not use moving components but are based on steering the laser beam using optical phase modulators and multiple microstructured waveguides. The OPAs are highly compact and rugged, achieve high measurement speeds above 100 kHz over a wide FOV, and can be realized in a single chip. This type of lidar system can provide very stable, precise, and rapid beam steering, which has emerged as a promising approach[28–34]. We compare the key parameters of the lidar in Table 1, including scanning range, angular resolution, scanning frequency, and detection distance.
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Type | Mechanical lidar | MEMS lidar | Prism lidar | Flash lidar | OPA lidar |
---|---|---|---|---|---|
Scanning range | 360° | small | small | < 180° | < 180° |
Angular resolution | high | low | high | lowest | highest |
Scanning frequency | low | high | low | high | highest |
Detection distance | long | short | long | shortest | longest |
Price | highest | high | high | low | lowest |
Weight | heaviest | light | light | lightest | lightest |
Volume | biggest | <prism lidar | <mechanical lidar | smallest | smallest |
Life | shorter | long | long | longest | longest |
Mass production | impossible | difficult | difficult | easy | easiest |
Stability | poor | good | better | best | best |
Existing technology | most mature | mature | less mature | less mature | less mature |
Table 1. Comparison of the Lidar’s Parameters
Conventional beam-scanning methods are usually based on mechanical or liquid crystals. Mechanical rotating lidars have the advantage of being able to scan the surroundings with a 360° horizontal FOV, whereas single semi-solid lidars or solid-state lidars tend to be limited to a maximum of 180° horizontal FOV. However, block mechanical systems are limited by their size and therefore speed, with typical response time for liquid crystals being only a few milliseconds. The OPA can quickly and precisely steer light in a nonmechanical way, thus representing a new enabling technology for compact solid-state two-dimensional (2D) beam steering as an alternative to traditional mechanical beam steering including MEMS. While a single OPA lidar has a limited scanning range, a specific number of lidars can be integrated into the vehicle to accomplish 360° coverage simultaneously. By applying OPA technology, the laser beam is guided and scanned within the sensor’s FOV without requiring any rotating parts.
Compared to competing technologies such as liquid crystals and MEMS, one prominent feature of OPAs based on silicon photon platforms is their high operation speed. The scanning speed of 2D OPA is affected by many factors, such as optical device performance, scanning drive mode, control system performance, incident light source, and system structure layout. Since there are no mechanical components in an OPA system, which instead utilizes the radiation field of each antenna unit in the array to interfere in the far field to achieve fast and precise beam control, it is an entirely electronically controlled form of scanning. Therefore, the scanning speed of OPAs is generally limited only by the response time of the phase shifter. In the studies reported so far, optical phase shifters based on thermo-optic and electro-optic effects are capable of achieving scanning rates from megahertz to gigahertz[35]. When using the OPA as a scanner, the waveguide loss in the silicon-on-insulator (SOI) platform is less than 3 dB/cm, while the bending loss is 0.013 dB/bend. This loss is not bigger than 1 dB, since the total length of the waveguide is of the order of millimeter[36]. The average efficiency of a grating coupler etched at 70 nm once on a 220 nm silicon top layer is about
Similar to radio detection and ranging, target range can be measured by pulsed signals and pulsed time of flight (TOF). However, TOF is one way of performing lidar measurement; the other option is to use the frequency-modulated continuous wave (FMCW) technique, based on heterodyne detection. Comparing with TOF, the FMCW method has the following advantage: the sensing system will not suffer from interference from nearby lidar systems due to the coherent detection nature of FMCW. In addition to distance information, it can obtain the velocity based on Doppler’s effect. Also, the FMCW method can achieve higher depth accuracy compared with TOF. Lastly, FMCW requires relatively lower optical peak power compared with the pulsed TOF method, where a strong optical pulse is required.
Detection range is also one of the key properties of lidar. The lidar’s detection range refers to the maximum distance at which the system can detect a target. This parameter is generally determined by the furthest detection distance of lidar for 10% low reflectivity targets. It is not absolute in practical applications due to variations in the environment and target surface conditions. The OPA-based TOF-type lidar mainly realizes the lidar ranging function through the direct TOF method, and most of the achievable detection distances are within 100 m. At the same time, TOF-type lidar mainly uses a pulsed laser, and when designing for OPA, it is often necessary to pay extra attention to the maximum power that the chip can withstand, and in the field of autonomous driving, it is also essential to take into account the safe power limit of the human eye. In the field of autonomous driving, the speeds of vehicles and pedestrians are critical, and being able to directly measure the speed information is crucial. In this regard, LuminWave, Aeva, and other companies began to study high-performance FMCW lidar. Such lidar has a wide range of measuring, strong anti-interference ability, and can directly measure the speed according to the Doppler effect. The FMCW lidar utilizes a coherent detection method for a very high SNR. Thanks to this, the detection distance of FMCW can realize 150 m or even more under the safety condition of human eyes. Coherent detection technology also brings excellent anti-interference performance, which can resist the interference of daylight, scattered light, stray light, and the mutual interference of other lidars. However, the laser light source plays a decisive role in the overall performance of the FMCW lidar. Long-range detection requires a high-quality light source that meets the requirements of narrow linewidth, wide tuning range, no mode-hopping, fast and high linearity sweep, stable output power, and simple control.
In this paper, we provide a review of recent advancements in integrated solid-state lidar systems, which utilize orthogonal polarizations and counterpropagation to enhance beam steering range and angular resolution. In Sec. 2, we introduce the principle of beam steering realized by silicon-based lidar. Section 3 delves into the strategies and advancements aimed at expanding the scanning range and enhancing spatial resolution along the longitudinal scanning dimensions of silicon-based lidar. This is accomplished using the counterpropagating beams and control over the polarization state of the beam. In Sec. 4, we offer a comprehensive summary and outlook for integrated silicon-based OPA lidar systems using orthogonal polarizations and counterpropagation and evaluate their potential prospects.
2. Principle of Beam Steering in Silicon-based Lidar
The silicon-based OPA lidar technology is rapidly advancing, offering efficient generation of focused beams in specific directions. These devices operate through a series of common steps. First, the incident light is coupled into an integrated waveguide bus and is then evenly distributed among waveguide splitters. A phase shifter is utilized to manipulate the light phase in each channel. Subsequently, the light traverses the emission array and is emitted into free space via a grating coupler (GC) emitting array. The direction of the scanning beam is determined by the design of the emitting components, the wavelength of the incoming light, and the relative phase between adjacent channels. Figure 1 illustrates a fundamental beam-steering apparatus in a seminal work by Acoleyen et al., offering insights into the operational principles of silicon-based OPA[46]. In this work, a near-infrared laser beam was coupled into a waveguide via a lensed fiber. Energy was uniformly delivered to an array of 16 waveguides, spaced 2 µm apart, via a tree of multimode interferometers (MMIs). The waveguide modes were transmitted through TiN thermo-optic phase modulators, with modulator lengths increasing linearly across the array, inducing a linear phase gradient. The light was coupled into free space by a GC etched in each waveguide, featuring a subwavelength period of 630 nm. As shown in the inset of Fig. 1, each point corresponds to an individual direction of off-chip emission and can be defined by the parameters (
Figure 1.Implementations of a silicon photonic OPA combined with grating emitters. The inset shows the far-field image[
The beam-steering angle
Figure 2 shows an overview of both the traditional single-polarized unidirectional lidar and the dual-polarized bidirectional integrated solid-state lidar. Compared to the traditional lidar setup, the integrated solid-state lidar employing orthogonal polarizations and counterpropagating beams can alter the direction of light incidence and the polarization state to extend the steering range and/or improve angular resolution. The method for altering the polarization mode and the propagation direction may be implemented independently or concurrently, as illustrated in Fig. 3. Both these methods can double the FOV or improve the angular resolution by a factor of 2. By producing multiple diffracted beams with varying propagation directions or polarization states using the same device, and manipulating the positions at which these beams diffract from the device for different wavelengths, it is possible to combine these diffracted beams in various spatial configurations and achieve the following objectives:
Figure 2.Schematic diagram of the traditional single-polarized unidirectional lidar and the dual-polarized bidirectional integrated solid-state lidar.
Figure 3.A general picture of the specific effects that the dual-polarized bidirectional lidar can selectively achieve. AR, angular resolution; FOV, field of view. TE/TM outputs are shown with solid/dashed lines, and different wavelengths are shown in different colors. The arrow on top of the wavelength indicates the propagating direction of the signal.
This facilitates the selective expansion of the beam-steering angle or the enhancement of angular resolution, as shown in Fig. 2. Through simultaneous utilization of both approaches, the design can achieve both a twofold increase in FOV and a twofold improvement in angular resolution concurrently. As displayed in Fig. 3, solely prioritizing the enhancement of the angular resolution or expansion of the beam-steering range, this strategy can yield a fourfold improvement in each of these aspects.
Steering along the
The power transmission of the GC in the frequency domain can be computed using the following equation:
Over prolonged use, temperature drift due to high temperatures will affect the pointing accuracy of the scanner. On the one hand, due to the direct relation between the refractive index
3. Schemes and Review for Improving Lidar Device Performance
This section carefully summarizes the technical solutions for improving the beam quality of OPA in angular resolution and beam steering. In Sec. 3.1, we review the solutions to improve the quality of beam scanning and angular resolution by manipulating the polarization state of the input light. In Sec. 3.2, the solutions with single polarized beams employing counterdirections in recent years are reviewed. In Sec. 3.3, we introduce the integrated silicon-based OPA lidar employing orthogonal polarizations and counterdirections simultaneously, resulting in superior performance.
3.1. Dual-polarized integrated lidar
According to Sec. 2, the longitudinal scanning angle
The working principle of dual-polarization lidar is as follows. The SOI waveguide was highly birefringent. The effective refractive index of the
In recent research by Yan et al., an OPA expanding the scanning range by polarization multiplexing was designed in 2021[58]. Figure 4 displays the diagram of the proposed polarization-multiplexed OPA, consisting of two main components: the polarization-decision part and the OPA part. The polarization-decision section consisted of a Mach–Zehnder interferometer (MZI) switch and a polarization splitter-rotator (PSR). This part was designed to convert the input light between the
Figure 4.Schematic diagram of polarization-multiplexed OPA[
Figure 5.(a) Calculated far field of 1600-nm TE-polarized mode; (b) calculated far field of 1500-nm TM-polarized mode; (c) beam-steering range of the 340-nm grating emitter in two polarization modes[
To achieve large lateral and longitudinal FOV, broadband tunable optical source and nonuniform spacing waveguides are widely used, leading to significant expense and a complicated structure. In 2022, a polarization-multiplexed OPA with a large FOV based on a 220-nm SOI platform was demonstrated, as shown in Fig. 6(a)[59]. The steering range can be greatly increased by utilizing customized optical antennas that are assisted by polarization switching. The enhanced optical antenna operated on the principle of radiation following interference, with the beam emanating from an individual grating. The device consisted of five primary components: an edge coupler, a power splitter, polarization converters, phase shifters, and the improved optical antenna. Two stages of the multimode interference (MMI) coupler were designed to divide the fundamental TE mode into four coherent channels. To achieve polarization switching of the input light, a polarization converter was implemented in each channel. This was accomplished by combining an MZI with a bilevel mode converter. By adding heat to the upper branch of each MZI, a
Figure 6.(a) Expanding the longitudinal scanning range of OPA by polarization multiplexing. α represents the phase difference between adjacent channels. (b) Schematic diagram of the improved optical antenna. θ represents the longitudinal steering angle, while ψ represents the lateral steering angle. (c) Longitudinal steering range θ of TE0 and TM0 modes by adjusting the work wavelength while maintaining a phase difference of 0°[
By employing this design, the cross talk between adjacent channels was reduced. As a result, the spacing of the waveguide array could potentially be reduced, allowing for a wider lateral beam steering range. On the other hand, in the case of longitudinal steering, polarization switching was used to reduce the reliance on the tunable laser source. This was achieved by taking use of the varying effective refractive indices and resulting diffraction angles caused by distinct polarization states. In comparison to the single polarization instance, the longitudinal steering range had the potential to be increased twofold. The suggested OPA offered an alternate method for achieving a broader 2D FOV.
Figure 6(c) illustrates that the longitudinal steering ranges of the
In conventional single polarization OPAs, the efficiency of wavelength tuning was normally around 0.14°/nm. Enhancing the efficiency of tuning the wavelength was a viable approach to fulfill the practical requirement of lidar. The overall system of the multiline OPA enhanced the wavelength-tuning efficiency. However, this resulted in a corresponding increase in complexity and footprint. Without sacrificing complexity, polarization-multiplexing OPA using multiple polarized states was a viable approach[60]. In 2023, a novel and universal polarization-multiplexing OPA scheme in which
Figure 7(a) displays the diagram of the proposed polarized multiplexing OPA. It comprised a polarization switch, a power splitter tree, a phase shifter array, a PSR array, and superlattice grating antennas. This work considered an SOI platform with three layers: a 1.8-µm cladding oxide layer, a 2-µm buried oxide layer, and a 220-nm silicon core layer. The
Figure 7.(a) Diagram of the proposed polarized multiplexing OPA; (b) vertical beam-steering range of Grt2 was computed by adjusting Wgrt2 from 0.36 to 0.46 µm. The red area represents Grt1 with the specified parameters[
In this work, the technique has been demonstrated on the widely used 220-nm SOI substrate. The experimental results demonstrated that a vertical scanning range of 24.8° could be achieved with a high efficiency of wavelength tuning, approximately 0.31°/nm. The observed FOV was
3.2. Bidirectional integrated lidar
The system employs two single-polarized beams that travel in opposite directions, and the resulting diffracted output beams can be smoothly merged to increase the beam steering angle or angular resolution by 2 times.
More recently, Ito et al. utilized a particularly shallow-etched diffraction grating cut directly into the photonic crystal surface to preferentially couple light in the upward direction and achieve the wide range 2D beam steering[62]. The shallow-etched grating on the silicon layer decreased the loss of emitted light in the downward direction. Additionally, it reduced the loss caused by internal reflection and collimation by limiting the angular spread, denoted as
Figure 8(a) shows an overview of a single beam-steering device. An SOI comprising an upper cladding layer, a 2-µm silicon dioxide (
Figure 8.Schematics of a beam-steering device based on the enhanced angular dispersion of gratings on slow-light waveguides. (a) LSPCW that enhances the top emission intensity using a shallow grating; (b) LSPCW array with prism lens for 2D beam steering, which preserves collimation conditions across a broad range of θ, and (c) the beam can be steered in the ϕ direction by choosing a certain LSPCW from its array, which follows the same principle as described in Ref. [
The 2D beam steering procedure is demonstrated in Fig. 8(b). One LSPCW was launched by light coming from the array. The beam was guided in the
Figure 8(b) further demonstrates how the direction of light incidence can be switched to change
The far-field patterns of OPAs were determined by multiplying the far field of each individual antenna and an array factor. To attain a broad steering angle of OPAs, two distinct attempts should be accomplished. Initially, it was necessary to suppress grating lobes using aperiodic arrays[35]. Furthermore, it was recommended to enhance the steering angle by augmenting the FOV of each antenna. Nevertheless, this task presented a significant challenge due to the difficulty in achieving a wide FOV of around 180°, as previously stated. Furthermore, the elimination of downward radiation was a challenge in achieving high emission efficiencies. As a result, achieving both goals simultaneously had proven to be extremely challenging.
To build advanced solid-state integrated lidar, a wide-angle waveguide grating antenna was proposed and demonstrated by Guo et al.[63]. Instead of focusing on reducing the downward radiation to increase efficiency, the authors’ approach was to utilize downward radiation and achieve equalization of radiated powers and FOV in both directions. This strategy aimed to double the range of beam steering. Both upward and downward emission exhibited FOV values over 90° at the full width at half-maximum (FWHM) of radiation intensity in the polar direction. Consequently, the proposed bidirectional antenna had a total FOV exceeding 180°, indicating its potential for wide-angle OPAs. In conjunction with expanded FOVs, the directional guided beams were generated by a shared array of power splitters, phase shifters, and antennas. This configuration significantly reduced the chip complexity and power consumption, especially in the context of large OPAs.
Figure 9(a) displays an array of bidirectional wide-angle WGAs. Incident light
Figure 9.(a) Theoretical structure of a wide-angle OPA, wherein no additional layers are included. (b) Schematic and (c) cross section of a wide FOV waveguide GC antenna[
Figure 10 illustrates the relationship between normalized far-field radiation intensity and radiation angle in 2D design. The data revealed a consistently high value (
Figure 10.Optimized WGA’s normalized far-field pattern[
Later, in 2023, the on-chip lidar architecture was found to be much simplified by employing counterpropagating beams with the same polarization in this proposed structure that was intended to double the beam tuning angle[64]. The configuration of the on-chip lidar system is shown in Fig. 11(a). On a single substrate, a GC and an optical switch were integrated. Linearly polarized signals were often generated by light sources and coupled into the SOI waveguide with the elementary TE mode. The TE mode was selected due to its higher effective refractive index and lower bending loss. A TLS was selected to be the light source in Fig. 11(a). The identical operational principle is applied when utilizing a WDM laser array as the light source, as depicted in Fig. 11(b). The optical switch can completely manipulate the beam and send it towards one of the two opposite directions of propagation[24]. By utilizing a counterpropagating TE polarized beam, it was possible to create two output beams from a single GC. The output beams from the GC will propagate in opposite directions. The two beams can be smoothly combined to double the beam steering angle.
Figure 11.(a) Configuration of a GC based on counterpropagating TE-polarized beams to double the beam-steering angle; (b) GC and system configuration utilizing counterpropagating TE-polarized beams[
To reduce expenses, one can implement a strategy of utilizing a single TLS for several integrated lidars. By employing an MMI, TLS had the capability to divide its light output into many light paths. Using a discrete-wavelength light source, each GC also can generate counterpropagating beams. Utilizing this strategy can substantially decrease the expenses in comparison to employing TLS for a lidar system.
A 3D finite-difference time-domain (FDTD) approach was employed to obtain the simulation results. The simulation results and theoretical results exhibited strong concordance, as depicted in Fig. 12. The resulting angles showed that an even distribution of eight beams is attained. The transmittance values of eight TE output beams were plotted against the right
Figure 12.Transmittance and output angles of four beams. Arrows mark four wavelengths’ locations[
3.3. Dual-polarized and bidirectional integrated solid-state lidar
Orthogonal polarization and counterpropagating beams can be used simultaneously and attain a double increase in FOV and an approximately twofold enhancement in angular resolution. This method can produce 4 times the improvement in either of the two main aspects—angular resolution and beam-steering range—if one only concentrates on these areas.
In 2021, Han et al. proposed a dual-polarized bidirectional integrated solid-state lidar utilizing the polarization and to essentially double the beam-steering angle[65]. In the proposed mechanism, two orthogonally polarized modes, the TE mode and TM mode, existed in the SOI waveguide. Two sets of GCs were designed, one for each polarized mode. The beam-steering angle can be doubled by combining the outputs from these two GCs into a continuous beam by carefully selecting the required parameters. Figure 13 depicts the suggested configuration of orthogonally polarized grating couplers (OPGCs), where the TE and TM modes are propagated in opposite directions to each other. There was no crossing between waveguides carrying different polarized modes. When it came to wavelength tuning, the TE mode and TM mode diffracted at the same angle at one end of the range (
Figure 13.Configuration of the device consisting of two GCs with orthogonal polarization modes[
Figure 14 displays the angle
Figure 14.Output angle of the two diffracted beams for 3D simulation, computed theoretically and through numerical simulation[
When focusing on the solid-state lidar constructed with a CWDM4 laser array and photodiode array, large channel spacing in CWDM enabled an easier layout of the WDM multiplexer/demultiplexer. A bigger volume of CWDM optical transceivers would result in a reduced cost. The 80-nm wavelength range provided a substantial FOV of around 12°, which was sufficient for most applications. Nevertheless, the CWDM4 scheme’s limited four-channel configuration resulted in an angular resolution of around 4, which fell below the desired standard for several lidar applications. The widespread use of this suggested solid-state lidar may be hampered by this restriction.
An approach involved augmenting the quantity of channels from four to eight while diminishing the channel separation from 20 to 10 nm. Nevertheless, implementing this channel plan would result in higher expenses, and there was currently no industrial progress in implementing it for the short-reach optical transceiver. As shown in Fig. 15, a fresh strategy called interleaved orthogonal polarization GC (iOPGC) was presented to solve this issue[66].
Figure 15.(a) Device configuration of two GCs. (b) System diagram of LiDAR transmitter system to increase the beam-steering angle[
There were two output GCs where the TE mode was propagating in the first GC, and the TM mode was propagating in the second GC. The TE mode and the TM mode were propagating in opposite directions. The outputs of two GCs can be alternately combined. This resulted in a single TE beam positioned centrally between two TM beams and vice versa. Consequently, this unique arrangement can enhance the angular resolution by a twofold factor. Figure 15(a) illustrates the architectural layout of iOPGC, with the TE mode and TM mode propagating in opposite directions within SOI waveguides.
Figure 16(a) displays the results of the numerical simulation and theoretical analysis conducted using 3D-FDTD. The TE GC had a period of 450 nm and a filling factor of 0.35, whereas the TM GC had a period of 740 nm and a filling factor of 0.6. The
Figure 16.(a) Theoretical and numerical 3D results of TE and TM beams’ output angles; (b) linear regression of eight beams’ output angles[
Following this initial work, Zhao et al. improved the design and proposed a polarization multiplexed OPA with a bidirectional shared grating emitter array, which can further improve the wavelength tuning efficiency and longitudinal steering angle[67]. Two identical OPAs were positioned on either side of the emitter array. Two-stage MZIs were employed to determine the directions and polarization states of the light that was introduced into the emitter array. By adjusting the width of the waveguide and the period of the grating, it was possible to enhance the performance of dual polarization multiplexed and dual-direction OPAs to cover blind spots within the scanning range. The design allowed for a total longitudinal scanning angle of 54.5°, with the wavelength scanning range spanning 1500 to 1600 nm. The lateral steering range was approximately 77.8° achieved through phase tuning with a waveguide spacing of 1.2 µm.
Figure 17(a) displays the schematic diagram of the proposed dual polarization multiplexed OPA. It consisted of two MZIs, a PSR, and two OPAs. By combining the four states, the proposed bidirectional and dual-polarization OPA can accomplish beam steering in the longitudinal dimension with a 54.5° FOV, as shown in Fig. 17(b).
Figure 17.Schematic diagram of the proposed dual-polarized bidirectional OPA and the total longitudinal scanning range of the proposed OPA[
Recently, an improved structure using a CWDM laser array as the light source for solid-state photonics-based lidar was designed to simultaneously increase the viewing angle and enhance the angular resolution[68]. The CWDM laser source working in the O-band has been suitable for the short-reach optical communication modules, leading to a significant cost advantage. When a CWDM4 laser array was utilized as the signal source, a single GC diffracts 16 output beams, 4 of which were produced at each wavelength. There was a notable difference in the effective index of the TE mode and the TM mode, causing the output angles of the TE beams to be distinct from those of the TM beams. By employing optimal design techniques, it was possible to position a TE beam precisely between two TM beams, and vice versa. This resulted in a twofold improvement in the angular resolution. In the GC, the signal can also travel in both directions, forward and backward. The output beams of the forward and backward signals were mirror-symmetric. By optimizing the design of a single GC’s design, 16 diffracted beams were uniformly distributed, with 4 beams produced from each wavelength. Sixteen beams can be easily integrated, resulting in a total viewing angle that was more than doubled. By employing this method, it was feasible to attain a combination of superior angular accuracy and expansive viewing perspectives.
Figure 18 displays the schematic image of the proposed configuration, illustrating the simultaneous transmission of the forward-propagating beam and the backward-propagating beam within the SOI waveguides. In the same substrate, the authors combined an optical switch, a shallow-etched GC, and two polarization elements (PEs). Four lasers were configured in the TE mode and then merged using a WDM multiplexer before being coupled into the SOI waveguide. Subsequently, an optical switch was employed to ascertain the direction of light transmission, enabling the output signal to be selectively routed to one of the two channels as required[32]. Figure 18 illustrates that each path is fitted with a PE, comprising an optical switch enclosed within the PE, a polarization rotator, and a polarization beam combiner. The layered optical switch guided the signal to the bottom path while TE polarization was required. When the TM polarization was needed, the nested optical switch routed the signal to the upper path. The TE polarization is converted to the TM polarization by the polarization rotator and TM polarizations. By employing this approach, it was possible to manipulate both the direction of propagation and the mode of polarization for the CWDM4 laser signal. Figure 19(a) displays the numerical simulation results of the output angles obtained by 3D-FDTD. At a wavelength of
Figure 18.System configuration using dual-polarized bidirectional beams. The TE/TM outputs are represented by solid and dotted lines. The signal’s direction of propagation is shown by the arrow above the wavelength. Various wavelengths are shown in different colors[
Figure 19.(a) Numerical simulation results of the output angles for 16 beams; (b) linear regression analysis on the output angles of eight beams located on the right side of the vertical line, which is perpendicular to the SOI waveguide plane[
4. Conclusion
With the advantages of small size, high precision, and fast scanning speed, the OPA-based solid-state lidar is expected to become an important configuration in the spatial information sensing system in the future and has broad application prospects in the unmanned domain and other fields.
At present, limited by the high requirements of the processing technology, the OPA cannot yet meet the application requirements of the actual engineering, and the application of OPA to the all-solid-state lidar system requires not only the research on the high-performance OPA technology but also in-depth study on the entire lidar system. Nevertheless, with the development of the integration process, it has already become possible not only to develop a low-cost lidar detection system based on OPAs. At the same time, it also shows broad application prospects in terms of excellent performance such as high-precision target capture and large-range flexible scanning.
For the whole lidar system, at present, in addition to the scanning system, some of the remaining components such as the laser source, modulation module, amplifier, and photodetector, have also been chip-based results. However, the discrete chip devices still need to be coupled to each other through optical fiber or free space, and problems such as power consumption, volume, and stability still exist. However, with the development of a heterogeneous integration platform by researchers, it is foreseeable that the future silicon-based chip will be able to integrate the various active and passive components required in the lidar system so that lidar can be fully realized on a chip, thus improving the stability of the system, simplifying the manufacturing and installation process, greatly reducing its size and production costs, and ultimately enhancing the competitiveness of lidar in the field of unmanned vehicles and other areas.
In terms of product development, thanks to the development of silicon-based photonics technology for many years, AMF from Singapore, SilTerra from Malaysia, Shanghai Industrial Technology Research Institute and Chongqing CUMEC from China, and other companies can be fully capable of OPA flow of custom services. With the design of lidar based on OPA becoming mature and the system gradually improving, Samsung Electronics from Republic of Korea, Analog Photonics from the United States, and other companies have launched a full-solid-state lidar based on the OPA chip prototype, and gradually promote the product development process.
In summary, the CMOS-compatible integrated OPA is a highly promising approach for advancing all-solid-state and compact lidar technology. Crucial elements of the OPA, including laser, beam splitters, phase modulator arrays, GC antennas, and photodetectors, can all be consolidated onto a single chip. Recent years have witnessed significant improvements in the development of compact all-solid-state lidar systems, featuring impressive performance metrics like a wide beam steering range and high spatial resolution. Utilizing orthogonal polarizations and counterpropagating beams, integrated solid-state lidar systems can further expand the steering range and enhance the angular resolution. The ongoing progress in silicon monolithic integration and superior laser/detector technology will facilitate the evolution of OPA lidar systems. It is foreseeable that fully developed lidar technology will find practical applications in the realms of autonomous driving, robotics, artificial intelligence, and optical communication.
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