编队卫星轨道参数的量测融合估计
doi: 10.3724/SP.J.1146.2006.00556
A Measurement Fusion Algorithm for Orbit Parameters Estimation of Formation Flying Satellites
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摘要: 多传感器量测融合技术应用于参数估计,可显著提高估计精度,增强系统的可靠性,保障估计的连续性。该文提出了一种基于扩维滤波的编队卫星轨道参数的量测融合估计算法,该算法直接从卫星的绝对轨道运动方程出发建立滤波器的状态方程,解决了实际中Hill方程的前提假设不能成立且无法对卫星轨道的各种摄动进行建模的问题。仿真实验验证了算法的可行性和有效性。
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关键词:
- 编队卫星;量测融合;摄动
Abstract: Multisensor measurement fusion technology can improve the accuracy, reliability, and continuity when it is applied to parameters estimation. A new algorithm for orbit parameters estimation of formation flying satellites is proposed based on extend Kalman filter, and multisensor measurement fusion technology is also used. Derived from motion equation of absolute satellite orbit, the algorithm overcomes the localizations of Hill equation, in which many assumes are not met actually and is not suitable for the model with perturbations considered. Simulation results verify the feasibility and validity of the algorithm.
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