自适应Kalman滤波算法在相对导航中的应用

Adaptive Kalman Filtering Algorithm Applied on Relative Navigation

本文将Singer、CS、IMM三种自适应滤波算法应用到数据链相对导航中,并进行了计算机仿真,分析比较了三种算法的性能。仿真结果表明,对机动平台相对导航而言,CS模型和IMM算法具有明显的优势。另外,指出并印证了Singer模型和CS模型中机动参数对相对导航性能的影响,分析了IMM算法在相对导航应用中存在的问题,并提出了相应的解决思路。

The three adaptive filtering algorithms （Singer, CS, and IMM） are applied on relative navigation. The capability of the three are analyzed and compared according to the simulation. The simulation result shows that, CS mode algorithm and IMM algorithm have the obvious advantages on Relative navigation. Besides, we pointed out and validated that the effects of maneuvering parameters in Singer mode and CS mode on relative navigation, analyzed the problem of IMM algorithm on relative navigation, and put forward our resolvent.