空间非合作机动目标跟踪相对导航方法研究

A Relative Navigation Algorithm for a Chaser Tracking a Non-Cooperative Maneuvering Target in Space

就基于雷达测量的空间非合作机动目标跟踪相对导航问题进行了研究,提出了一套既能够处理测量粗差,又能使滤波器在存在未知输入情况下快速收敛的相对导航算法。本文将强跟踪滤波器的思想引入到二阶分离插值滤波算法(DDF2),设计DDF2-STF滤波器;另外,本文将DDF2与Huber滤波算法相结合,设计DDF2-Huber滤波器;最后,本文设计了相应的滤波器切换准则,根据不同情况选用DDF2-Huber和DDF2-STF滤波器,从而得到一套完整的相对导航算法。数学仿真证实了所提出相对导航算法的有效性。本文的研究成果为工程设计提供了理论参考。

This paper researches on the relative navigation of a chaser tracking a non-cooperative maneuvering target based on measurements from radar.A novel relative navigation algorithm is proposed.This algorithm is not only robust to these outliers included in measurements,but also quickly convergent when unknown maneuvers happen.Two new filters,named DDF2-STF and DDF2-Huber are designed respectively,and a strategy determining which filter should be used according to different situations is composed thus developing the novel algorithm.The simulation results show validity of the algorithm.