道路环境中激光雷达互干扰的仿真研究

doi:10.16182/j.issn1004731x.joss.20-0935

系统仿真学报 ›› 2022, Vol. 34 ›› Issue (4): 891-900.doi: 10.16182/j.issn1004731x.joss.20-0935

• 仿真模型/系统置信度评估技术 • 上一篇下一篇

道路环境中激光雷达互干扰的仿真研究

毛雪松¹(), 雷闰龙¹, 黄少伟², 毛雪涛³()

^1.武汉科技大学信息科学与工程学院/人工智能学院，湖北武汉 430081
^2.肇庆学院计算机科学与软件学院/大数据学院，广东肇庆 526061
^3.武汉理工大学计算机科学与技术学院，湖北武汉 430070

收稿日期:2020-11-28 修回日期:2021-01-09 出版日期:2022-04-30 发布日期:2022-04-20
通讯作者: 毛雪涛 E-mail:xsmao@wust.edu.cn;maoxuetao@whut.edu.cn
作者简介:毛雪松(1975-)，男，博士，教授，研究方向为道路环境信息感知。E-mail：xsmao@wust.edu.cn
基金资助:
国家自然科学基金(51774219)

Simulation on Mutual Interference of Laser Radar in Road Environments

Xuesong Mao¹(), Runlong Lei¹, Shaowei Huang², Xuetao Mao³()

^1.School of Information Science and Engineering/School of Artifical Intelligence, Wuhan University of Science and Technology, Wuhan 430081, China
^2.School of Computer Science and Software/School of Big Data, Zhaoqing University, Zhaoqing 526061, China
^3.School of Computer Science and Technology, Wuhan University of Technology, Wuhan 430070, China

Received:2020-11-28 Revised:2021-01-09 Online:2022-04-30 Published:2022-04-20
Contact: Xuetao Mao E-mail:xsmao@wust.edu.cn;maoxuetao@whut.edu.cn

摘要/Abstract

摘要：

为解决汽车激光雷达的相互干扰造成目标检测与跟踪性能的严重下降的问题，从空间、时间和调制频率等方面出发，研究脉冲方式和频率调制连续波方式激光雷达在道路环境中可能存在的各种干扰，通过仿真计算干扰发生的概率、分析干扰的特征，以及干扰对测量性能下降的影响。针对可能存在的干扰问题，指出使用伪随机码调制连续波激光器输出幅度的方式可以有效降低干扰发生的概率，保证激光雷达在道路环境中有效可靠地工作。

关键词: 激光雷达, 互干扰, 频率调制连续波, 伪随机码

Abstract:

Mutual interference of vehicular laser radar causes serious performance reduction of target detection and tracking. From spatial, time and modulation frequency, various possible interference of lidars of pulse and frequency modulated continuous wave method in road environments are studied by simulation. The possibility of the interference is calculated, the features and performance reduction of the interference are analyzed. For the possible interference, using a method of pseudo random noise code to modulate the output amplitude of the continuous wave laser can effectively reduce the probability of interference and ensure the reliable operation of lidar in road environments.

Key words: lidar, mutual interference, frequency modulated continuous wave, pseudo random noise code

中图分类号:

TP95

毛雪松, 雷闰龙, 黄少伟, 毛雪涛. 道路环境中激光雷达互干扰的仿真研究[J]. 系统仿真学报, 2022, 34(4): 891-900.

Xuesong Mao, Runlong Lei, Shaowei Huang, Xuetao Mao. Simulation on Mutual Interference of Laser Radar in Road Environments[J]. Journal of System Simulation, 2022, 34(4): 891-900.

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参考文献 20

1	Chavez-Garcia R O, Aycard O. Multiple Sensor Fusion and Classification for Moving Object Detection and Tracking[J]. IEEE Transactions on Intelligent Transportation Systems (S1558-0016), 2016, 17(2): 525-534.
2	Wang Z, Wu Y, Niu Q. Multi-Sensor Fusion in Automated Driving: a Survey[J]. IEEE Access (S2169-3536), 2020, 8: 2847-2868.
3	Milosavljević M, Glavonjić Đ P, Krčum D P, et al. A 55-64-GHz Fully Integrated Miniaturized FMCW Radar Sensor Module for Short-Range Applications [J]. IEEE Microwave and Wireless Components Letters (S1531-1309), 2019, 29(10): 677- 679.
4	Uysal F. Phase-Coded FMCW Automotive Radar: System Design and Interference Mitigation[J]. IEEE Transactions on Vehicular Technology (S0018-9545), 2019, 69(1): 270-281.
5	Hyun E, Jin Y. Lee J. Moving and Stationary Target Detection Scheme Using Coherent Integration and Subtraction for Automotive FMCW Radar Systems [C]// IEEE Radar Conference(RadarConf). Seattle, WA, USA: IEEE, 2017: 476-481.
6	Xu Z, Shi Q. Interference Mitigation for Automotive Radar Using Orthogonal Noise Waveforms[J]. IEEE Geoscience and Remote Sensing Letters (S1545-598X), 2018, 15(1): 137-141.
7	Brooker G M, Mutual Interference of Millimeter Wave Radar Systems[J]. IEEE Transactions on Electromagnetic Compatibility (S0018-9375), 2007, 49(1): 170-181.
8	Toth M, Meissner P, Melzer A, et al. Performance Comparison of Mutual Automotive Radar Interference Mitigation Algorithms[C]// IEEE Radar Conference (RadarConf). Boston, MA, USAA: IEEE, 2019: 1-6.
9	Verghese S. Self-driving Cars and Lidar [C]// Conference on Lasers and Electro (CLEO), San Jose, CA, USA: IEEE; 2017.
10	Li Y, Ibanez-Guzman J. Lidar for Autonomous Driving: the Principles, Challenges, and Trends for Automotive Lidar and Perception Systems[J]. IEEE Signal Processing Magazine (S1053-5888), 2020, 37(4): 50-61.
11	Hwang I, Lee C. Mutual Interference of a True-Random Lidar with Other Lidar Signals [J]. IEEE Access (S2169-3536), 2020, 8: 124123-124133.
12	Hwang I, Yun S, Lee C. Study on the Frequency-Modulated Continuous Wave Lidar Mutual Interference [C]// IEEE International Conference on Communication Technology (ICCT). Xi'an, China: IEEE, 2019: 1053-1056.
13	Hahmann K, Schneider S, Zwick T. Evaluation of Probability of Interference-Related Ghost Targets in Automotive Radars[C]// IEEE MIT-S International Conference on Microwaves for Intelligent Mobility (ICMIM). Munich, GER: IEEE, 2018: 1-4.
14	Kim G, Eom J, Park Y. An Experiment of Mutual Interference Between Automotive Lidar Scanners[C]// International Conference on Information Technology-New Generation. Las Vegas, NV: IEEE, 2015: 680-685.
15	Oudin M, Delmas J, Germond C, et al. Preprocessing for Adaptive Spatial Filtering in Ground-Based Rotating Radar Systems[C]// Fourth IEEE Workshop on Sensor Array and Multichannel Processing. Waltham, MA, USA: IEEE, 2006: 576-579.
16	Prokes A, Wilfert O, Petrzela J. Comparison of Atmospheric Losses in 850nm and 1550nm Optical Windows[C]// IEEE Region 8 International Conference on Computational Technologies in Electrical and Electronics Engineering (SIBIRCON). Listvyanka, RUS: IEEE, 2010: 310-313.
17	Xu Z, Tang L, Zhang H, et al. Simultaneous Real-Time Ranging and Velocimetry Via a Dual-Sideband Chirped Lidar[J]. IEEE Photonics Technology Letters (S1041-1135), 2017, 29(24): 2254-2257.
18	Tsuchida H. Differential FMCW Lidar for Breaking the Limit of Laser Coherence[J]. Electronics Letters (S0013-5194), 2020, 56(12): 614-616.
19	方建超, 周兴林, 毛雪松. 利用多普勒激光雷达实现距离和速度同步测量[J]. 光电工程, 2016, 43(12): 212-218.
	Fang Jianchao, Zhou Xinglin, Mao Xuesong. Doppler Laser Radar for Measuring Range and Speed Simultaneously[J]. Opto-Electronic Engineering, 2016, 43(12): 212-218.
20	郑刚, 程用志, 毛雪松. 基于伪随机码调制的车载激光雷达距离速度同步测量方法[J]. 计算机应用 2017, 37(3): 911-914.
	Zheng Gang, Cheng Yongzhi, Mao Xuesong. Simultaneous Range and Speed Measurement by Vehicle Laser Radar Based on Pseudo Random Noise Code Modulation[J]. Journal of Computer Applications, 2017, 37(3): 911-914.

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道路环境中激光雷达互干扰的仿真研究

Simulation on Mutual Interference of Laser Radar in Road Environments

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