基于InGaAs单光子探测器的线阵扫描激光雷达及其光子信号处理技术研究 |
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引用本文: | 张笑宇,王凤香,郭颖,王文娟,罗永锋,武文,侯佳,姜紫庆,彭梓强,黄庚华,舒嵘.基于InGaAs单光子探测器的线阵扫描激光雷达及其光子信号处理技术研究[J].红外与激光工程,2023,52(3):20220474-1-20220474-9. |
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作者姓名: | 张笑宇 王凤香 郭颖 王文娟 罗永锋 武文 侯佳 姜紫庆 彭梓强 黄庚华 舒嵘 |
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作者单位: | 1.中国科学院上海技术物理研究所,上海 200083 |
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基金项目: | 上海市市级科技重大专项(2019SHZDZX01);船舶态势智能感知系统研制(MC-201920-X01);上海市自然科学基金(19ZR1466000) |
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摘 要: | 随着探测体系的发展,基于单光子探测技术的光子计数激光雷达受到了广泛关注,有效降低了系统对激光功率的需求,广泛应用在远距离测距及成像领域。针对激光雷达在人眼安全波段的工作需求,基于自由运转模式InGaAs/InP SPAD单光子探测器设计了一套多元收发的远程线阵光子计数激光雷达扫描成像原型系统,对探测器在日光背景下的探测概率影响因素展开了分析,配合主动淬灭电路设计及工作温度、偏压调整获得了系统的最佳工作点,并针对扫描视场中孤立目标特征采用了点云滤波及后脉冲预处理算法,将单个接收通道的原始数据率由200 kbps量级降低至小于1 kbps。与记录单次回波相比,单个测距周期记录四次回波可将有效数据量提升约5%。同时也对探测器的噪声及后脉冲等特性进行了分析。该系统工作波段为1 550 nm,探测器线阵规模可达到128元,激光重频为20 kHz,可在2 s内实现水平200°范围内的激光三维成像,作用距离>3 km。经过成像算法处理,该系统在日光条件下成功实现多距离目标三维成像,成像目标清晰。
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关 键 词: | 激光雷达 光子计数 三维成像 单光子探测 InGaAs/InP SPAD |
收稿时间: | 2022-07-08 |
Research on linear array scanning lidar and photon signal processing technology based on InGaAs single-photon detector |
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Affiliation: | 1.Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China2.University of Chinese Academy of Sciences, Beijing 100049, China3.Shanghai Research Center for Quantum Sciences, Shanghai 201315, China4.School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China |
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Abstract: | Objective With the development of the detection system, the photon-counting imaging lidar based on single-photon detection technology has greatly improved the detection sensitivity of the echo optical signal, effectively reduced the demand of the system for laser power, and made it possible for miniaturized, long-distance, high-resolution, and high-precision laser 3D imaging equipment, which is widely used in the field of long-distance ranging and imaging and has become a research hotspot.Since the number of echo photons in long-distance laser detection is only the order of single photons, the detection performance of the detector is highly required. So at present, most photon-counting lidar remote imaging generally adopts the method of area array staring detection or unit micro-mirror scanning to accumulate the fixed target for a long time to improve the signal-to-noise ratio, which is not conducive to real-time dynamic measurement of large-scale and large-range targets.Although there are many schemes using SPAD (Single-photon Avalanche Diode) to carry out ranging and imaging experiments at home and abroad, Si-based SPAD in the visible band is mainly used. Compared with InGaAs/InP SPAD, the dark count, detection efficiency, afterpulse probability, dead time and other indicators are not ideal. In order to achieve higher single-photon detection performance in near-infrared band, InGaAs/InP SPAD mainly adopts gated quenching mode, which is more suitable for the situation where the target distance is known, while not suitable for the situation where the target range is large, and the relevant research on the range measurement and imaging experiment using the active quenching mode InGaAs/InP SPAD of the free-running system is less, which is only at the stage of principle prototype. Therefore, this study proposes a linear array imaging lidar scheme based on InGaAs/InP single-photon detector. Methods Aiming at the working requirements of the eye safety band, based on the free-running mode InGaAs/InP SPAD, a set of remote linear array photon-counting lidar scanning imaging prototype system with multiple transceivers is designed, 128 units of InGaAs/InP SPAD are spliced into a linear array arrangement, the working band of the system is 1 550 nm, the laser repetition frequency is 20 kHz and the laser scanning imaging in the horizontal 200° range is realized through scanning in 2 seconds (Fig.3, Tab.5).At the same time, the factors affecting the detection probability of the detector in the sunlight background are analyzed, and the optimal working point of the system is obtained by combining with the active quenching circuit design (Fig.1) and the adjustment of the working temperature and bias voltage. Point cloud filtering and afterpulse preprocessing algorithms are used to reduce the original data rate of a single receiving channel and characterize isolated targets in the scanning field of view (Fig.2). Results and Discussions By analyzing the characteristics of afterpulse and noise, it can be seen that the background noise signal, including the background noise and the dark count signal, is randomly distributed in the whole space. With the increase of the number of echo statistics per unit ranging period, the background noise will increase. Behind the light count signal, there are two levels of obvious afterpulse signal, and the afterpulse caused by the dark count will also lead to the increase of the background noise (Fig.5). After the processing of the point cloud filtering and afterpulse preprocessing algorithm, the original data rate of a single receiving channel is reduced from 200 kbps to less than 1 kbps, and the obvious afterpulse signal behind the target point cloud is removed. Compared with recording single echo, recording four echoes in a single ranging cycle can increase the effective data volume by about 5%. After the processing of the imaging algorithm, the system successfully realizes three-dimensional imaging of multi-range targets under daylight conditions, the maximum detection distance is more than 3 km, and the imaging targets are clear (Fig.7). Conclusions In this study, a long-distance imaging lidar system based on photon-counting detection technology is designed, and the detection performance of single-photon detector is studied. After that, the noise and after-pulse characteristics, imaging clarity, and other indicators of the lidar are verified by fixed-point ranging experiments and scanning imaging experiments. The experimental results show that the system can successfully detect multi-range target information, and can detect long-distance targets of more than 3 km. The final reconstructed image is clear, and the noise suppression effect is perfect. The system is suitable for three-dimensional point cloud imaging of long-distance targets. However, due to the significant after-pulse effect of InGaAs/InP SPAD, the increase of dark count will seriously affect the detection performance. The afterpulse and background noise can be significantly filtered by point cloud filtering and afterpulse preprocessing algorithm, and the point cloud data can be compressed for subsequent processing. |
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