Laser & Optoelectronics Progress, Volume. 62, Issue 5, 0512004(2025)

Real-Time Recognition Method for Space Debris Laser Ranging Signals Based on Deep Learning

Chenguang Wu1,2、*, Zhibo Wu2,3, Ying He1, Haifeng Zhang2,3, Si Qin2,3, Mingliang Long2, and Zhongping Zhang2,3
Author Affiliations
  • 1College of Sciences, Shanghai University, Shanghai 200444, China
  • 2Shanghai Astronomical Observatory, Chinese Academy of Sciences, Shanghai 200030, China
  • 3Key Laboratory of Space Object and Debris Observation, Chinese Academy of Sciences, Nanjing 210008, Jiangsu , China
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    References(16)

    [6] Dong X. Research of high repetition space debris laser ranging system[D](2014).

    [14] Fan K, Guan L, Ma J S et al. Research on pain classification based on CNN+LSTM and EEG signal[J]. Modern Computer, 27, 3-7(2021).

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    Chenguang Wu, Zhibo Wu, Ying He, Haifeng Zhang, Si Qin, Mingliang Long, Zhongping Zhang. Real-Time Recognition Method for Space Debris Laser Ranging Signals Based on Deep Learning[J]. Laser & Optoelectronics Progress, 2025, 62(5): 0512004

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    Paper Information

    Category: Instrumentation, Measurement and Metrology

    Received: May. 20, 2024

    Accepted: Jul. 5, 2024

    Published Online: Feb. 20, 2025

    The Author Email:

    DOI:10.3788/LOP241321

    CSTR:32186.14.LOP241321

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