• Laser & Optoelectronics Progress
  • Vol. 60, Issue 7, 0728001 (2023)
Mengxue Yang1、2, Zhulian Li1、3、*, and Yuqiang Li1、3
Author Affiliations
  • 1Yunnan Observatories, Chinese Academy of Sciences, Kunming 650216, Yunnan, China
  • 2University of Chinese Academy of Sciences, Beijing 100049, China
  • 3Key Laboratory of Space Object & Debris Observation, Chinese Academy of Sciences, Nanjing 210034, Jiangsu, China
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    DOI: 10.3788/LOP213284 Cite this Article Set citation alerts
    Mengxue Yang, Zhulian Li, Yuqiang Li. Satellite Laser Ranging Optimization Algorithm Based on Greedy Dynamic Fusion[J]. Laser & Optoelectronics Progress, 2023, 60(7): 0728001 Copy Citation Text show less
    Schematic of visible window of satellite and grand station
    Fig. 1. Schematic of visible window of satellite and grand station
    Algorithm flow chart of GSA and DPA fusion
    Fig. 2. Algorithm flow chart of GSA and DPA fusion
    Task scheduling experiment platform
    Fig. 3. Task scheduling experiment platform
    Profitability of three algorithms under different numbers of tasks
    Fig. 4. Profitability of three algorithms under different numbers of tasks
    Comparison of average time of different algorithms
    Fig. 5. Comparison of average time of different algorithms
    Variance changes of three algorithms after different optimization times
    Fig. 6. Variance changes of three algorithms after different optimization times
    Accuracy values of three algorithms under different optimization times
    Fig. 7. Accuracy values of three algorithms under different optimization times
    Star IDStar nameStar SICStartEndHM /(°)LEN /min
    8606101AJAjisai1500122912391510
    0000000DBBeidou3m300001210145360163
    1000101G1Compassg120021210222535615
    1101301I3Compassi32003121013092159
    1107301I5Compassi520051210222571615
    Table 1. Original observation tasks of laser ranging (partial)
    PriorityMissionILRS nameCOSPAR IDSIC
    1GRACE-FO-1Gracefo11804701123
    1GRACE-FO-2Gracefo21804702124
    2ICESat-2Icesat218070016873
    3CryoSat-2Cryosat210013018006
    4PAZPaz18020012501
    Table 2. Observation task priority (partial)
    AlgorithmTask completion rate /%
    Number of task is 35Number of task is 45Number of task is 55Number of task is 65Number of task is 75
    GSA91.4088.9087.3085.3084.00
    DPA95.2095.6092.7092.3090.10
    DPA+GSA99.1098.8097.3096.9096.00
    Table 3. Comparison of task completion rates when three algorithms schedule different numbers of tasks
    Star IDStar nameStartEnd
    160320136Glonass13612101212
    1501701203Galileo20312141216
    1306702SASwarma12181220
    1101301I3Compassi312221224
    8900103E1Etalon112261228
    8606101AJAjisai12301232
    1504502206Galileo20612341236
    0000000DBGalileo22212381240
    0000000DBGeoik212431245
    090700116Glonass11612471249
    Table 4. Final task scheduling plan (partial)
    Mengxue Yang, Zhulian Li, Yuqiang Li. Satellite Laser Ranging Optimization Algorithm Based on Greedy Dynamic Fusion[J]. Laser & Optoelectronics Progress, 2023, 60(7): 0728001
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