编队小卫星星间基线估计算法研究

H ill方程假设卫星轨道是小偏心率和无摄动的,实际应用时难以获得高精度的星间基线估计。本文提出了一种基于主星位置展开的扩展Kalm an滤波算法,该算法采用含摄动的卫星运动模型,综合利用星间无线电和红外仪器的原始量测,实现了小卫星星间基线的融合估计,提高了估计精度。仿真实验针对J2摄动模型验证了算法的可行性和有效性。

An Algorithm for Estimation of Baseline between Formation Flying Satellites

When used in baseline estimation,Hill Equation assumes a satellite orbit with small eccentricity and no perturbation and it is hardly possible for it to attain high accuracy estimation of inter-satellite baseline.This paper proposes an extended Kalman Filter algorithm based on expanding dynamic equations at the position of master satellite,and the algorithm uses a dynamic model with perturbation.Integrating raw inter-satellite wireless radio and infrared measurements,fusion and estimation of baseline between satellites is performed and estimation accuracy is increased.Simulation results with J_2 perturbation model have verified the feasibility and validity of the algorithm.