scholarly journals Photon Counting LIDAR Based on True Random Coding

Sensors ◽  
2020 ◽  
Vol 20 (11) ◽  
pp. 3331
Author(s):  
Yang Yu ◽  
Bo Liu ◽  
Zhen Chen ◽  
Kangjian Hua

In this paper, a true random coding photon counting LIDAR is described, in which a Gm-APD (Geiger mode avalanche photodiode) acts as the true random sequence signal generator. The true random coding method not only improves the anti-crosstalk capability of the system, but also greatly reduces the 1-bit missed detection caused by the limited Gm-APD count rate. The experiment verifies the feasibility of the true random sequence used in a photon counting LIDAR ranging system, and a simple and intuitive evaluation model of true random sequence autocorrelation is proposed. Finally, the influence of system parameters (mean echo photon number, mean pulse count density, sequence length, mean noise count) on detection probability is explored. In general, this paper proves that the true random code photon counting LIDAR is an effective target detection method, and provides a new idea for the research of an anti-crosstalk LIDAR system.

Photonics ◽  
2021 ◽  
Vol 8 (12) ◽  
pp. 545
Author(s):  
Yang Yu ◽  
Zhangjun Wang ◽  
Kuntai Ma ◽  
Chao Chen ◽  
Xiufen Wang ◽  
...  

With the wide application of lidar in the future, the problem of crosstalk between lidars will become more serious. True random coding photon counting lidar with high anti-crosstalk ability will play an important role in solving this problem. In this paper, based on the working principle of Gm-APD, the detection probability theoretical model of true random coding photon counting lidar is built, and the impact of jitter on detection probability is considered for the first time. The influence of mean echo photon number, mean pulse count density, sequence length and pulse width on detection probability is analyzed. Monte Carlo simulation and experimental results are highly consistent with the theoretical model, which proves the correctness of the detection probability theoretical model. This theoretical model provides an effective means to evaluate the system performance.


2012 ◽  
Vol 49 (12) ◽  
pp. 121202
Author(s):  
王弟男 Wang Dinan ◽  
陈长青 Chen Changqing ◽  
王挺峰 Wang Tingfeng

2013 ◽  
Vol 10 (10) ◽  
pp. 105201 ◽  
Author(s):  
Hui-Ming Qu ◽  
Yi-Fan Zhang ◽  
Zhong-Jie Ji ◽  
Qian Chen

Author(s):  
Brian F. Aull ◽  
Daniel R. Schuette ◽  
Douglas J. Young ◽  
David M. Craig ◽  
Bradley J. Felton ◽  
...  

Entropy ◽  
2021 ◽  
Vol 23 (11) ◽  
pp. 1499
Author(s):  
Mingwei Huang ◽  
Zijing Zhang ◽  
Jiaheng Xie ◽  
Jiahuan Li ◽  
Yuan Zhao

Photon counting lidar for long-range detection faces the problem of declining ranging performance caused by background noise. Current anti-noise methods are not robust enough in the case of weak signal and strong background noise, resulting in poor ranging error. In this work, based on the characteristics of the uncertainty of echo signal and noise in photon counting lidar, an entropy-based anti-noise method is proposed to reduce the ranging error under high background noise. Firstly, the photon counting entropy, which is considered as the feature to distinguish signal from noise, is defined to quantify the uncertainty of fluctuation among photon events responding to the Geiger mode avalanche photodiode. Then, the photon counting entropy is combined with a windowing operation to enhance the difference between signal and noise, so as to mitigate the effect of background noise and estimate the time of flight of the laser pulses. Simulation and experimental analysis show that the proposed method improves the anti-noise performance well, and experimental results demonstrate that the proposed method effectively mitigates the effect of background noise to reduce ranging error despite high background noise.


2020 ◽  
Vol 237 ◽  
pp. 07026
Author(s):  
Peng Ge ◽  
Cong Chen ◽  
Zhen Shang ◽  
Yanen Fan ◽  
Jingjing Guo ◽  
...  

Photon-counting detector array is very desired for high-resolution laser imaging based on direct time-of-flight measurement. Such systems have potential applications in remote sensing with long distances. We will perform three-dimensional imaging using a large InGaAs Geiger-mode avalanche photodiode array which has single-photon sensitivity. To improve the image quality with only a few photon detections, the photon counting imaging process is analyzed and a regularization method based on pixel spatial correlation is employed for image reconstruction. The performance of the method is compared with that of conventional maximum likelihood estimation on intensity and range image reconstructions of a building about six hundred meters away.


2008 ◽  
Author(s):  
Rengarajan Sudharsanan ◽  
Ping Yuan ◽  
Joseph Boisvert ◽  
Paul McDonald ◽  
Takahiro Isshiki ◽  
...  

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