A computer vision-based approach for lunar laser ranging signal detection

Astronomical Techniques and Instruments

卷:3

Article

Chengkai Zhou¹  Han Yao¹  Hui Li¹  Ning Xu¹  Xida Han^1,2  Xianlin Wu¹  Xudong Lin¹  Ming Li¹  Hongchao Zhao³ 

[1] MOE Key Laboratory of TianQin Mission, TianQin Research Center for Gravitational Physics and School of Physics and Astronomy, Frontiers Science Center for TianQin, Gravitational Wave Research Center of CNSA, Sun Yat-sen University (Zhuhai Campus), Zhuhai 519082, China

[2] School of Advanced Manufacturing, Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, China

[3] National Gravitation Laboratory, Huazhong University of Science and Technology, Wuhan 430074, China

关键词: Lunar laser ranging;    Signal detection;    Computer vision;    Random sampling;    Low signal-to-noise ratio signals;   

DOI  :  10.3724/ati2025075

 received in 2025-09-08, accepted in 2026-03-06,  发布年份 2026

来源: Tianwenyanjiu

【 摘 要 】

Lunar laser ranging represents the forefront of laser ranging technology. The considerable distance to the Moon and strong background light mean that the signal-to-noise ratio of lunar laser ranging signals is much lower compared with that of satellite laser ranging signals in Earth’s orbit. Accurate processing of lunar laser ranging data is essential for its scientific applications. This paper addresses the challenge of the low signal-to-noise ratio in lunar laser ranging signals by developing a detection model based on computer vision techniques. The model was tested using both simulated data with a signal-to-noise ratio as low as −19 dB and measured data as low as −12.9 dB, with the results demonstrating that the model provides reliable detection in both cases, offering a robust approach for the effective processing of lunar laser ranging data.

【 授权许可】

CC BY-NC-ND   
© 2026 Editorial Office of Astronomical Techniques and Instruments, Yunnan Observatories, Chinese Academy of Sciences.

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