Acta Optica Sinica, Volume. 42, Issue 18, 1812003(2022)

High-Accuracy Advance Pointing Angle Algorithm Based on Motion Information Fusion

Xinbo Shao1,2, Ziyong Yuan1, Xialin Liu1, and Rong Shu1,2、*
Author Affiliations
  • 1Key Laboratory of Space Active Optical-Electro Technology, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China
  • 2School of Information Science and Technology, ShanghaiTech University, Shanghai 201210, China
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    Figures & Tables(12)
    Schematic diagram of advance pointing angle calculation
    Structural diagram of space debris laser ranging system
    Processing flow chart of data fusion algorithm
    Input data of data fusion algorithm. (a) Inertial sensor data; (b) camera data
    Results of data fusion algorithm. (a) Data fitting results of different time lengths; (b) errors of data fitting results of different time lengths
    Simulation results of different types of target motion curves. (a) Sinusoidal motion; (b) power function motion; (c) parabolic motion
    • Table 1. Calculation results of initial orbit determination and advance pointing angles with different arc lengths

      View table

      Table 1. Calculation results of initial orbit determination and advance pointing angles with different arc lengths

      Arc lengthSemimajor axis /kmEccentricityInclination /(°)RAAN /(°)Argument of perigee /(°)Mean anomaly /(°)Position error /m

      Velocity error /

      (m·s-1

      Advance pointing angle error /μrad
      LEO6925.4000.00017253.056333.69158.693301.422
      SSO7160.7200.00035098.541103.993112.524112.524
      10 s14248.7180.51774754.692332.40270.038348.38079.6901906.17412.7078
      20 s7630.8970.09463553.437329.81771.299348.94982.756386.3772.5758
      30 s7190.6430.03837853.208329.32072.350348.51081.666161.0291.0735
      40 s7061.8660.02058253.129329.14473.678347.60179.79088.1560.5877
      50 s7006.6920.01276653.091329.06175.371346.27277.76355.8260.3722
      60 s6977.9870.00866153.071329.01577.459344.52675.78438.7290.2582
    • Table 2. Basic parameters of inertial sensor

      View table

      Table 2. Basic parameters of inertial sensor

      Technical indicatorValue
      Bias stability /[(°)·h-1≤0.02
      Bias repeatability /[(°)·h-1≤0.01
      Random walk coefficient /[(°)·h-1/2≤0.001
      Threshold /[(°)·h-1≤0.005
      Scale factor10150±200
      Bandwidth /Hz≥100
    • Table 3. Error of proposed advance pointing angle calculation method

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      Table 3. Error of proposed advance pointing angle calculation method

      Arc length /sVelocity error of traditional method /(ms-1

      Advance pointing angle error of traditional

      method /μrad

      Velocity error of proposed method /

      (m·s-1

      Advance pointing angle error of proposed method /μrad
      101906.17412.70789.8790.0659
      20386.3772.57585.0140.0334
      30161.0291.07352.6070.0174
      4088.1560.58772.1230.0142
      5055.8260.37222.1130.0141
      6038.7290.25822.1030.0140
    • Table 4. Effect of camera delay on calculation results

      View table

      Table 4. Effect of camera delay on calculation results

      Camera delay /ms

      Data length used in data fusion

      algorithm /s

      Arc length /sAngular rate error /(μrad·s-1

      Velocity error /

      (m·s-1

      Advance pointing angle error /μrad
      010104.74999.89860.0660
      100101010.448821.29690.1420
      200101016.052032.50370.2167
      500101022.042244.48460.2966
    • Table 5. Effect of camera noise on calculation results

      View table

      Table 5. Effect of camera noise on calculation results

      Camera noise /μrad

      Data length used in data fusion

      algorithm /s

      Arc length /sAngular rate error /(μrad·s-1

      Velocity error /

      (m·s-1

      Advance pointing angle error /μrad
      010104.74999.89860.0660
      1010106.899814.19860.0947
      30101015.722031.84370.2123
      50101024.728149.85660.3324
    • Table 6. Effect of inertial sensor noise on calculation results

      View table

      Table 6. Effect of inertial sensor noise on calculation results

      Inertial sensor noise /(μrad·s-1

      Data length used in data fusion

      algorithm /s

      Arc length /sAngular rate error /(μrad·s-1

      Velocity error /

      (m·s-1

      Advance pointing angle error /μrad
      010104.74999.89860.0660
      1010104.76109.92080.0661
      3010105.598111.59510.0773
      5010106.286112.97120.0865
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    Xinbo Shao, Ziyong Yuan, Xialin Liu, Rong Shu. High-Accuracy Advance Pointing Angle Algorithm Based on Motion Information Fusion[J]. Acta Optica Sinica, 2022, 42(18): 1812003

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    Paper Information

    Category: Instrumentation, Measurement and Metrology

    Received: Jan. 18, 2022

    Accepted: Feb. 25, 2022

    Published Online: Jul. 27, 2022

    The Author Email: Shu Rong (shurong@mail.sitp.ac.cn)

    DOI:10.3788/AOS202242.1812003

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