Paper
6 August 2023 Single-photon lidar range-finding by the CFAR detector
Author Affiliations +
Proceedings Volume 12781, International Conference on Optoelectronic Information and Functional Materials (OIFM 2023); 127812L (2023) https://doi.org/10.1117/12.2687614
Event: 2023 International Conference on Optoelectronic Information and Functional Materials (OIFM 2023), 2023, Guangzhou, JS, China
Abstract
Ultra-long-distance range-finding is often affected by scattering noise, resulting in a low Signal-to-Noise Ratio (SNR) due to the extremely weak retro-reflected light. Due to the low SNR, it is difficult to determine the corresponding distance from the sensor during the final stage of signal processing. It is challenging to adjust the threshold to achieve both a high detection rate and a low false alarm rate. In this study, we propose an effective detector for locating low SNR targets in ultra-long-distance measurements. The detector is based on the Constant False Alarm Rate (CFAR) processing framework widely used in radar target detection. We applied this detector for signal processing in the photon counting system for long-range, small dynamic targets, which we reported in our earlier work. In-site experiments were conducted in Dunhuang, Gansu in September 2021. We successfully performed long-range laser ranging for 60km buildings and ultra-long-range laser ranging for 152km mountain. The results showed that the proposed CFAR detector could quickly and efficiently extract target locations that were difficult to detect using a detector based on constant thresholding.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chensheng Wang, Xianjiang Zeng, Hui Yu, Ming Chen, and Weichao Du "Single-photon lidar range-finding by the CFAR detector", Proc. SPIE 12781, International Conference on Optoelectronic Information and Functional Materials (OIFM 2023), 127812L (6 August 2023); https://doi.org/10.1117/12.2687614
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KEYWORDS
Target detection

Photon counting

Detection and tracking algorithms

Signal to noise ratio

LIDAR

Clutter

Time correlated single photon counting

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