Infrared and Laser Engineering, Volume. 51, Issue 11, 20220076(2022)

Space-based identification method for space debris based on trajectory consistency detection

Yunfan Lei1, Long Wang1、*, Hongjun Zhong2, Hui Zhang1, and Yanpeng Wu1
Author Affiliations
  • 1Beijing Institute of Control Engineering, Beijing 100190, China
  • 2DFH Satellite Co., Ltd, Beijing 100094, China
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    Figures & Tables(15)
    (a) Ideal point; (b) Trailing point
    Light curve of space debris when attitude stabilization and rotation
    Real and forecast trajectories of space debris
    Flow chart of identification method
    Principle of Topographic correlation in DTW
    Schematic diagram of debris trajectory consistency preliminary screening based on DTW
    Error distribution between real trajectories and predicted trajectories
    Flowchart of simulation verification algorithm
    Debris 1 trajectory fitting results. (a) Data continuity rate 100%; (b) Data continuity rate 50%
    Debris 2 trajectory fitting results. (a) Data continuity rate 100%; (b) Data continuity rate 50%
    Real trajectory and predicted trajectory of Cosmos-2344
    • Table 1. Influence of data continuity rate on the identification stability between two methods

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      Table 1. Influence of data continuity rate on the identification stability between two methods

      Simulated frame numData continuity rateAngular rate of debris/(″)·s−1Simulated total debrisProportion of identified number to the total
      Method1Method2
      20100%2 70010097.1%98.3%
      2090%2 70010090.1%97.6%
      2080%2 70010083.6%100.0%
      2070%2 70010077.2%96.7%
      2060%2 70010072.0%99.1%
      2050%2 70010067.8%98.5%
    • Table 2. Influence of angular rate of debris on the identification stability between two methods

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      Table 2. Influence of angular rate of debris on the identification stability between two methods

      Simulated frame numData continuity rateAngular rate of debris/(″)·s−1Simulated total debrisProportion of identified number to the total
      Method1Method2
      2060%3 60010098.3%100%
      2060%2 70010072.0%96.2%
      2060%1 50010045.3%97.5%
      2060%72010026.1%99.7%
      2060%36010010.6%98.3%
      2060%200100097.1%
    • Table 3. Fitting slope and error of simulation samples

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      Table 3. Fitting slope and error of simulation samples

      NameDo not extract simulated observationsExtract 10 frames from the simulated images
      Fitting slopeErrorFitting slopeError
      RealPredictedRealPredicted
      Debris 117.58717.8850.29817.74317.4710.272
      Debris 20.7104.2363.526−0.066 24.4114.477
    • Table 4. Identification results of low-orbit satellites in stargazing experiments

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      Table 4. Identification results of low-orbit satellites in stargazing experiments

      NameZenith angle/(°)Magnitudes mVTotal identification timesProportion of identification times to the total
      Method1Method2
      Object 1873.513100%100%
      Object 2844.01090%100%
      Object 3814.61172.7%100%
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    Yunfan Lei, Long Wang, Hongjun Zhong, Hui Zhang, Yanpeng Wu. Space-based identification method for space debris based on trajectory consistency detection[J]. Infrared and Laser Engineering, 2022, 51(11): 20220076

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    Paper Information

    Category: Photoelectric measurement

    Received: May. 10, 2022

    Accepted: --

    Published Online: Feb. 9, 2023

    The Author Email: Wang Long (lucev@qq.com)

    DOI:10.3788/IRLA20220076

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