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Article

Photon Counting LIDAR Based on True Random Coding

by 1,2, 1,2,*, 1,2 and 1,2
1
Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu 610209, China
2
Key Laboratory of Space Optoelectronic Precision Measurement Technology, University of Chinese Academy of Sciences, Beijing 100049, China
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(11), 3331; https://doi.org/10.3390/s20113331
Received: 11 May 2020 / Revised: 9 June 2020 / Accepted: 10 June 2020 / Published: 11 June 2020
(This article belongs to the Section Optical Sensors)
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. View Full-Text
Keywords: LIDAR; photon counting; true random coding LIDAR; photon counting; true random coding
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MDPI and ACS Style

Yu, Y.; Liu, B.; Chen, Z.; Hua, K. Photon Counting LIDAR Based on True Random Coding. Sensors 2020, 20, 3331. https://doi.org/10.3390/s20113331

AMA Style

Yu Y, Liu B, Chen Z, Hua K. Photon Counting LIDAR Based on True Random Coding. Sensors. 2020; 20(11):3331. https://doi.org/10.3390/s20113331

Chicago/Turabian Style

Yu, Yang, Bo Liu, Zhen Chen, and Kangjian Hua. 2020. "Photon Counting LIDAR Based on True Random Coding" Sensors 20, no. 11: 3331. https://doi.org/10.3390/s20113331

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