Lin Y Q, Zhao Y Q, Ye M, et al. Design of an integrated multi-line LiDAR analog front-end micromodule[J]. Opto-Electron Eng, 2021, 48(8): 210080. doi: 10.12086/oee.2021.210080
Citation: Lin Y Q, Zhao Y Q, Ye M, et al. Design of an integrated multi-line LiDAR analog front-end micromodule[J]. Opto-Electron Eng, 2021, 48(8): 210080. doi: 10.12086/oee.2021.210080

Design of an integrated multi-line LiDAR analog front-end micromodule

    Fund Project: Tianjin New Generation Artificial Intelligence Science and Technology Major Project Fund (2019FBH-0021)
More Information
  • Multi-line LiDAR has a wide range of application demands, but the current detection and processing circuit of LiDAR is mostly composed of discrete components, and the detector is separated from the processing circuit, which brings high cost, poor reliability, and other problems. To solve the above problems, an integrated 16-element LiDAR analog front-end micromodule based on system-in-package technology is proposed, which has important practical significance for the research of multi-component LiDAR micromodule. This module integrates a 16-element avalanche photon diode array detector, a self-developed multi-channel LiDAR analog front-end readout circuit chip, a temperature sensor, and a thermoelectric cooler, etc., which can realize the integration of detection, processing and temperature control. The test results show that the thermostatic stability of the micromodule is 0.07 ℃, the bandwidth of the micromodule is up to 190 MHz, the noise level of the integrated micromodule is reduced by more than 32% compared with that of the non-integrated micromodule, and high speed detection of 5 ns laser narrow pulse is realized.
  • 加载中
  • [1] Zhu F H, Gong K, Huo Y J. A wide dynamic range laser rangefinder with cm-level resolution based on AGC amplifier structure[J]. Infrared Phys Technol, 2012, 55(2-3): 210-215. doi: 10.1016/j.infrared.2012.01.003

    CrossRef Google Scholar

    [2] Castorena J, Creusere C D. Sampling of time-resolved full-waveform LIDAR signals at Sub-Nyquist rates[J]. IEEE Trans Geosci Remote Sens, 2015, 53(7): 3791-3802. doi: 10.1109/TGRS.2014.2383839

    CrossRef Google Scholar

    [3] Allouis T, Bailly J S, Pastol Y, et al. Comparison of LiDAR waveform processing methods for very shallow water bathymetry using Raman, near-infrared and green signals[J]. Earth Surf Process Landforms, 2010, 35(6): 640-650. doi: 10.1002/esp.1959

    CrossRef Google Scholar

    [4] Duong H V, Lefsky M A, Ramond T, et al. The electronically steerable flash lidar: a full waveform scanning system for topographic and ecosystem structure applications[J]. IEEE Trans Geosci Remote Sens, 2012, 50(11): 4809-4820. doi: 10.1109/TGRS.2012.2193588

    CrossRef Google Scholar

    [5] 李杰. 脉冲激光雷达全波形建模与处理算法研究[D]. 天津: 天津大学, 2018: 1-4.

    Google Scholar

    Li J. Study on the modeling and processing algorithm of the full waveform of pulsed lidar[D]. Tianjin: Tianjin University, 2018: 1-4.

    Google Scholar

    [6] 郑浩. 成像激光雷达接收器模拟前端集成电路与系统研究[D]. 西安: 西安电子科技大学, 2018: 4.

    Google Scholar

    Zheng H. Key technology research on analog front end integrated circuit and system for imaging LADAR receiver[D]. Xi'an: Xidian University, 2018: 4.

    Google Scholar

    [7] Fersch T, Weigel R, Kölpin A. Comparison of laser safe scanning patterns for second generation LiDAR deflection units[C]//201718th International Radar Symposium, Prague, Czech Republic, 2017: 1-9.

    Google Scholar

    [8] Ta T T, Kubota H, Kokubun K, et al. A 2D-SPAD array and read-out AFE for next-generation solid-state LiDAR[C]//2020 IEEE Symposium on VLSI Circuits, Honolulu, HI, USA, 2020: 1-2.

    Google Scholar

    [9] 朱孟真, 程勇, 谭朝勇, 等. 国外空间激光的发展现状[J]. 红外与激光工程, 2012, 41(12): 3241-3248. doi: 10.3969/j.issn.1007-2276.2012.12.020

    CrossRef Google Scholar

    Zhu M Z, Cheng Y, Tan C Y, et al. Development of foreign spaceborne laser[J]. Infrared Laser Eng, 2012, 41(12): 3241-3248. doi: 10.3969/j.issn.1007-2276.2012.12.020

    CrossRef Google Scholar

    [10] Albota M A, Heinrichs R M, Kocher D G, et al. Three-dimensional imaging laser radar with a photon-counting avalanche photodiode array and microchip laser[J]. Appl Opt, 2002, 41(36): 7671-7678. doi: 10.1364/AO.41.007671

    CrossRef Google Scholar

    [11] Kameyama S, Hirai A, Imaki M, et al. Demonstration on range imaging of 256×256 pixels and 30 frames per second using short wavelength infrared pulsed time-of-flight laser sensor with linear array receiver[J]. Opt Eng, 2016, 56(3): 031214. doi: 10.1117/1.OE.56.3.031214

    CrossRef Google Scholar

    [12] Hong C, Kim S H, Kim J H, et al. A Linear-Mode LiDAR sensor using a Multi-Channel CMOS transimpedance amplifier array[J]. IEEE Sens J, 2018, 18(17): 7032-7040. doi: 10.1109/JSEN.2018.2852794

    CrossRef Google Scholar

    [13] Ying G, Huang G H, Shu R. 3D imaging laser radar using Geiger-mode APDs: analysis and experiments[J]. Proc SPIE, 2010, 7684: 768402. doi: 10.1117/12.849222

    CrossRef Google Scholar

    [14] 朱静浩. 阵列APD无扫描激光雷达非均匀性的分析与实验研究[D]. 哈尔滨: 哈尔滨工业大学, 2013: 47-59.

    Google Scholar

    Zhu J H. Analysis and experimental research on non-uniformity of non-scanning Ladad based on APD arrays[D]. Harbin: Harbin Institute of Technology, 2013: 47-59.

    Google Scholar

    [15] Zhou G Q, Zhou X, Yang J Z, et al. Flash Lidar sensor using fiber-coupled APDs[J]. IEEE Sens J, 2015, 15(9): 4758-4768. doi: 10.1109/JSEN.2015.2425414

    CrossRef Google Scholar

    [16] 胡凯. 基于InGaAs面阵探测器的FM/cw激光雷达读出电路的设计技术研究[D]. 天津: 天津大学, 2017: 113-122.

    Google Scholar

    Hu K. Research on ROIC design technique for FM/cw LADAR based on InGaAs FPA detectors[D]. Tianjin: Tianjin University, 2017: 113-122.

    Google Scholar

    [17] Hu K, Zhao Y Q, Ye M, et al. Design of a CMOS ROIC for InGaAs self-mixing detectors used in FM/cw LADAR[J]. IEEE Sens J, 2017, 17(17): 5547-5557. doi: 10.1109/JSEN.2017.2724064

    CrossRef Google Scholar

    [18] Crowell C R. Temperature dependence of avalanche multiplication in semiconductors[J]. Applied Physics Letters, 1966, ED-13(6): 242-244. doi: 10.1063/1.1754731

    CrossRef Google Scholar

    [19] Zhang Z Y, Yu D S, Cai Y, et al. Design of APD double temperature compensation circuit with high gain stability[J]. Proc SPIE, 2018, 10846: 108460Z. doi: 10.1117/12.2504223

    CrossRef Google Scholar

    [20] Prokes A, Zerman V. Temperature compensation of the responsivity of avalanche photodiodes in free-space optical communication systems[C]//IEEE/Siberian Conference on Control and Communications, Tomsk, Russia, 2003: 102-107.

    Google Scholar

    [21] Bogatin E. 信号完整性与电源完整性分析[M]. 李玉山, 刘洋, 等, 译. 2版. 北京: 电子工业出版社, 2015: 72-78.

    Google Scholar

    Bogatin E. Signal and Power Integrity: Simplified[M]. Li Y S, Liu Y, et al., trans. 2nd ed. Beijing: Publishing House of Electronics Industry, 2015: 72-78.

    Google Scholar

    [22] 郑学仁, 李斌. 系统级封装技术综述[J]. 半导体技术, 2002, 27(8): 17-20, 34. doi: 10.3969/j.issn.1003-353X.2002.08.006

    CrossRef Google Scholar

    [23] Tumati R. Solid-state nanopore characterization and low noise transimpedance amplifier for nanopore-based gene sequencer[D]. Maine: The University of Maine, 2008: 26-35.

    Google Scholar

    [24] Prokeš A. Influence of temperature variation on optical receiver sensitivity and its compensation[J]. Radioengineering, 2007, 16(3): 13-18.

    Google Scholar

    [25] Chuah J H, Holburn D. Low-noise transimpedance amplifier for pixelated CMOS photon detector in the scanning electron microscope[J]. IETE J Res, 2013, 59(3): 226-230. doi: 10.4103/0377-2063.116082

    CrossRef Google Scholar

  • Overview: LiDAR is an environmental sensing system based on laser ranging technology. Compared with the visual imaging system, it can directly obtain the 3D information of the targets, so as to improve the accuracy of rapid detection and recognition for the targets. LiDAR is widely used in autonomous driving, robotics, unmanned aerial vehicles, topographic mapping, meteorological monitoring and other fields. At present, the detection and processing circuit of LiDAR is mostly composed of discrete components, and the detector is separated from the processing circuit, which brings high cost, poor reliability, and other problems. To solve the above problems, an integrated 16-element LiDAR analog front-end micromodule based on system-in-package (SIP) technology is proposed, which has important practical significance for the research of multi-element LiDAR micromodule. This module integrates a 16-element APD array detector, a self-developed multi-channel LiDAR analog front-end readout integrated circuit (AFE ROIC) chip, a temperature sensor, and a thermoelectric cooler (TEC), etc., which can realize the integration of detection, processing, and temperature control. The substrate, 905 nm narrow-band filter parameter and vacuum tube are designed, and micromodule integration is completed. The integrated multi-channel AFE ROIC chip features with 200 MHz bandwidth, four adjustable gains of 65 dB, 80 dB, 90 dB and 100 dB. The size of the integrated ROIC is 2.5 mm ×2.0 mm. Compared with the multi-channel AFE readout circuit composed of discrete components, the integrated circuit chip is helpful to realize integration. Considering the heat dissipation of the chip and signal integrity, the aluminum substrate PCB with high thermal conductivity is adopted and the PCB routing is optimized. Considering that the wavelength of 905 nm semiconductor laser diode will drift due to the influence of temperature, the parameters of the filter are optimized. The vacuum shell adopts metal wall and ceramic insulator structure with excellent air tightness and reliability. The whole shell is composed of metal base, metal wall, ceramic insulation structure, double straight insert pins, copper exhaust pipe and top cover with a window. The installation position of the TEC is designed inside the shell. The TEC is a solid device without noise and vibration. It can realize cooling by passing positive current and heating by passing negative current. Therefore, the TEC can be controlled by an external TEC drive circuit to achieve a constant temperature inside the shell. An experiment is built to test the performance parameters of the 16-element LiDAR AFE micromodule such as the noise level and the response capability of laser pulse echoes. The thermostatic stability of the micromodule is 0.07 ℃, the bandwidth of the micromodule is up to 190 MHz, the noise level of the integrated micromodule is reduced by more than 32% compared with that of the non-integrated micromodule, and high speed detection of 5 ns laser narrow pulse is realized.

  • 加载中
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Figures(21)

Tables(3)

Article Metrics

Article views() PDF downloads() Cited by()

Access History
Article Contents

Catalog

    /

    DownLoad:  Full-Size Img  PowerPoint