Laser & Optoelectronics Progress, Volume. 59, Issue 12, 1228005(2022)

Anti-Interference Performance Analysis of Modulated Light Detection and Ranging Using Code Division Multiple Access

Hengheng Liang1, Xichen Wang2, Yonglong Chen2, Junan Zhang1, and Yingke Xie3、*
Author Affiliations
  • 1School of Artificial Intelligence, Chongqing University of Technology, Chongqing 401120, China
  • 2Liangjiang International College, Chongqing University of Technology, Chongqing 401120, China
  • 3College of Science, Chongqing University of Technology, Chongqing 401320, China
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    The anti-interference properties of the light detection and ranging (LiDAR) technology is a core aspect for realizing safe unmanned driving. Herein, the principle of modulated LiDAR system using code division multiple access (CDMA) is analyzed, the characteristics of different orthogonal code groups are compared, and the anti-interference performance of the CDMA-modulated LiDAR system is analyzed under different interferences by simulation. Experimental results show that the CDMA-modulated LiDAR system based on the optical orthogonal code (OOC) achieves a low false-alarm rate and can effectively resist the interference of conventional single-pulse LiDAR systems. Furthermore, it can effectively resist the same LiDAR system and the interference of the frequency-modulated continuous wave (FMCW) LiDAR system with low power and a specific frequency. Moreover, for 200 scenes where conventional monopulse LiDAR is used as the dense interferer, the false alarm rate of the CDMA-modulated LiDAR system is only 0.11%, which can meet the anti-interference requirements of large-scale unmanned applications.

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    Hengheng Liang, Xichen Wang, Yonglong Chen, Junan Zhang, Yingke Xie. Anti-Interference Performance Analysis of Modulated Light Detection and Ranging Using Code Division Multiple Access[J]. Laser & Optoelectronics Progress, 2022, 59(12): 1228005

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    Paper Information

    Category: Remote Sensing and Sensors

    Received: Apr. 23, 2021

    Accepted: Jun. 27, 2021

    Published Online: Jun. 9, 2022

    The Author Email: Xie Yingke (xieyingke@cqut.edu.cn)

    DOI:10.3788/LOP202259.1228005

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