基于衰减因子的分布式卫星高精度编队导航技术

针对分布式卫星长时间高精度编队导航问题，提出了一种基于衰减因子的自适应编队导航算法。首先，建立基于 e/i 矢量的编队卫星相对运动方程，其次，完成星间相对位置与相对轨道根数的转换，最后，引入自适应衰减因子，增加系统稳定性，完成高精度相对导航估计。 仿真数据表明，该方法能克服模型线性化的误差，比传统的 CW 导航算法具有更高的构型确定精度，并且能实现长时间稳定的编队导航。

High-Precision Formation Navigation Technology of Distributed Satellites Based on Attenuation Factor

An adaptive formation navigation algorithm based on attenuation factor is proposed for long-term high-precision formation navigation of distributed satellites. Firstly, the relative motion equation of formation satellites is established based on e/i vector. Secondly, the conversion between inter-satellite relative position and the relative orbital elements is completed. Finally, the adaptive attenuation factor is introduced to increase the stability of the system and complete the high-precision relative navigation estimation. The simulation data shows that this method can overcome the linearization error of the model, has higher configuration determination accuracy than the traditional CW navigation algorithm, and can achieve long-term stable formation navigation.