A data processing method of photon counting LIDAR for high-speed moving targets

Wenwu Jia; Wenze Cai; Sanxi Zhang; Yuanyuan Zhou; Tao Sun

doi:10.1117/12.3023534

18 March 2024 A data processing method of photon counting LIDAR for high-speed moving targets

Wenwu Jia, Wenze Cai, Sanxi Zhang, Yuanyuan Zhou, Tao Sun

Proceedings Volume 13104, Advanced Fiber Laser Conference (AFL2023); 131043V (2024) https://doi.org/10.1117/12.3023534
Event: Advanced Fiber Laser Conference (AFL2023), 2023, Shenzhen, China

Abstract

Aiming at the method of photon counting laser ranging data processing for high-speed dynamic moving targets, a photon counting laser ranging data processing method based on polynomial motion delay compensation is proposed. This data processing method effectively improves the signal-to-noise ratio of high-speed moving targets through target motion polynomial modeling, multi-pulse motion delay compensation and accumulation. The simulation data is generated by the method of superimposing the real background noise to simulate the target echo, and the algorithm is verified. The results show that when the laser echo rate is 0.53% and the background noise rate is 2.57×10⁶count/s, the target can still be accurately detected, which is equivalent to increasing the operating distance by about 1.43 times. The maximum distance measurement error is 0.29 meters, which is close to the distance resolution, effectively ensuring the distance measurement accuracy under weak signals.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Wenwu Jia, Wenze Cai, Sanxi Zhang, Yuanyuan Zhou, and Tao Sun "A data processing method of photon counting LIDAR for high-speed moving targets", Proc. SPIE 13104, Advanced Fiber Laser Conference (AFL2023), 131043V (18 March 2024); https://doi.org/10.1117/12.3023534

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KEYWORDS

Target detection

Pulsed laser operation

Photon counting

Pulse signals

Signal detection

Data processing

Ranging

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