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Three Satellites Detection Data Fusion Trajectory Estimation Algorithm
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Xuefeng CHU1, 2, Nan WU1, Feng WANG1, Liefeng HUANGFU2
Missiles and Space Vehicles | 2024, 47(4) : 29 - 33
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Missiles and Space Vehicles | 2024, 47(4): 29-33
• Launch Vehicle and Missile •
Three Satellites Detection Data Fusion Trajectory Estimation Algorithm
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Xuefeng CHU1, 2, Nan WU1, Feng WANG1, Liefeng HUANGFU2
Affiliations
  • 1PLA Strategic Support Force Information Engineering University,Zhengzhou,450001
  • 2Unit 32682,Jinan,271000
Published: 2024-08-25 doi: 10.7654/j.issn.2097-1974.20240405
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Aiming at solving the SBIRS three satellites detection trajectory estimation problem, a data fusion trajectory estimation algorithm based on the GEO satellite and the HEO satellite detection is proposed. According to the SBIRS constellation composition and detection mechanism, the STK is used to analyze the SBIRS coverage capability to a certain area, calculation shows that over three satellites can fully cover it in about 43% of the simulation time. Establishing the three satellites detection data fusion estimation algorithm model to estimate the missile target motion state in real time, the current statistical model is adopted to describe the missile motion state, the centralized structure is adopted to achieve detection data fusion, in addition, the unscented Kalman filter is used as trajectory estimation filter. Simulation results show that, compared with the binary detection trajectory estimation error, the three satellites detection trajectory estimation error is significantly reduced.

trajectory estimation  /  three satellites detection  /  data fusion  /  space based infrared system
Xuefeng CHU, Nan WU, Feng WANG, Liefeng HUANGFU. Three Satellites Detection Data Fusion Trajectory Estimation Algorithm[J]. Missiles and Space Vehicles, 2024 , 47 (4) : 29 -33 . DOI: 10.7654/j.issn.2097-1974.20240405
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Article Info
doi: 10.7654/j.issn.2097-1974.20240405
  • Receive Date：2020-04-02
  • Online Date：2025-07-04
  • Published：2024-08-25
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History
  • Received：2020-04-02
  • Revised：2020-06-20
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    1PLA Strategic Support Force Information Engineering University,Zhengzhou,450001
    2Unit 32682,Jinan,271000
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表12种不同金属材料的力学参数
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Family		 属数
Number of
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Number of
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小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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