Real-Time Echo-Photon Detection Method Based on Motion Compensation and Robust Estimation

Yan, 张岩 Zhang; Qianqian, 石乾乾 Shi; Kunpeng, 王鲲鹏 Wang; Peng, 赵鹏 Zhao

doi:10.3788/aos201737.0212002

Cited by 1 publication

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“…A lot of research has been done on the distance data processing of moving targets. Zhang Yan et al proposed an echo photon real-time detection algorithm based on motion compensation and tolerance estimation [1] , which can improve the efficiency of echo photon detection. However, it requires satellite reference orbit data and increases the error detection rate when echo photons are sparse.…”

Section: Introductionmentioning

confidence: 99%

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

Jia,

Cai,

Zhang

et al. 2024

Advanced Fiber Laser Conference (AFL2023)

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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 × 10 6 count/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.

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Section: Introductionmentioning

confidence: 99%