True random coded photon counting Lidar

被引:23
|
作者
Liu, Bo [1 ,2 ,3 ]
Yu, Yang [1 ,2 ]
Chen, Zhen [1 ,3 ]
Han, Weiqiang [1 ,3 ]
机构
[1] Chinese Acad Sci, Inst Opt & Elect, Chengdu 610209, Peoples R China
[2] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
[3] Chinese Acad Sci, Key Lab Sci & Technol Space Optoelect Precis Meas, Chengdu 610209, Peoples R China
基金
中国国家自然科学基金;
关键词
Lidar; photon counting; true random coded; pseudo-random coded; RANGE AMBIGUITY; MODULATION; AVOIDANCE;
D O I
10.29026/oea.2020.190044
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
A true random coded photon counting Lidar system is proposed in this paper, in which a single photon detector acts as the true random sequence signal generator instead of the traditional function generator. Compared with the traditional pseudo-random coded method, the true random coded method not only improves the anti-crosstalk capability of the system, but more importantly, it effectively overcomes the adverse effect of the detector's dead time on the ranging performance. The experiment results show that the ranging performance of the true random coded method is obviously better than that of the pseudo-random coded method. As a result, a three-dimensional scanning imaging of a model car is completed by the true random coded method.
引用
收藏
页码:1 / 6
页数:6
相关论文
共 50 条
  • [1] True random coded photon counting Lidar
    Bo Liu
    Yang Yu
    Zhen Chen
    Weiqiang Han
    [J]. Opto-Electronic Advances, 2020, 3 (02) : 16 - 21
  • [2] Photon Counting LIDAR Based on True Random Coding
    Yu, Yang
    Liu, Bo
    Chen, Zhen
    Hua, Kangjian
    [J]. SENSORS, 2020, 20 (11) : 1 - 12
  • [3] Detection Probability Analysis of True Random Coding Photon Counting Lidar
    Yu, Yang
    Wang, Zhangjun
    Ma, Kuntai
    Chen, Chao
    Wang, Xiufen
    Xue, Boyang
    Li, Xianxin
    Zhang, Feng
    Pan, Xin
    Zhuang, Quanfeng
    Li, Hui
    [J]. PHOTONICS, 2021, 8 (12)
  • [4] Forest signal detection for photon counting LiDAR using Random Forest
    Chen, Bowei
    Pang, Yong
    Li, Zengyuan
    Lu, Hao
    North, Peter
    Rosette, Jacqueline
    Yan, Min
    [J]. REMOTE SENSING LETTERS, 2020, 11 (01) : 37 - 46
  • [5] Analyzing the performance of pseudo-random single photon counting ranging Lidar
    Yu, Yang
    Liu, Bo
    Chen, Zhen
    [J]. APPLIED OPTICS, 2018, 57 (27) : 7733 - 7739
  • [6] Photon counting lidar working in daylight
    Jiang, Yun
    Liu, Bo
    Wang, Rui
    Li, Zhikang
    Chen, Zhen
    Zhao, Bin
    Guo, Guangmeng
    Fan, Wei
    Huang, FengYun
    Yang, YuQiang
    [J]. OPTICS AND LASER TECHNOLOGY, 2023, 163
  • [7] Development and test of photon counting lidar
    Wang Chun-hui
    Wang Ao-you
    Tao Yu-liang
    Li Xu
    Peng Huan
    Meng Pei-bei
    [J]. FOURTH SEMINAR ON NOVEL OPTOELECTRONIC DETECTION TECHNOLOGY AND APPLICATION, 2018, 10697
  • [8] Improving the Performance of Pseudo-Random Single-Photon Counting Ranging Lidar
    Yu, Yang
    Liu, Bo
    Chen, Zhen
    [J]. SENSORS, 2019, 19 (16)
  • [9] Distance estimation method based on photon counting LIDAR
    Yin, Wen-Ye
    Shi, Feng
    He, Wei-Ji
    Gu, Guo-Hua
    Chen, Qian
    [J]. Guangzi Xuebao/Acta Photonica Sinica, 2015, 44 (05):
  • [10] Photon-Counting LIDAR Based on a Fractal SNSPD
    Hu, Nan
    Feng, Yifan
    Xu, Liang
    Meng, Yun
    Zou, Kai
    Gyger, Samuel
    Steinhauer, Stephan
    Zwiller, Val
    Hu, Xiaolong
    [J]. 2021 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXPOSITION (OFC), 2021,