变结构多模型临近空间高超声速飞行器跟踪算法

Variable structure multiple model near space hypersonic vehicle tracking algorithm

针对传统跟踪算法跟踪临近空间高超声速目标时计算量大、跟踪精度低的问题,提出了一种变结构多模型跟踪算法。在分析传统跟踪算法的基础上,建立了一种变转移概率、变模型数量的目标模型,通过目标运动状态辨识方法,确定目标飞行阶段,并选择相应滤波模型和模型转移概率,实现变结构多模型跟踪。Monte Carlo仿真结果表明:新算法能够实现对临近空间高超声速飞行器的有效跟踪,跟踪性能比传统变结构多模型跟踪算法更加优越,具有一定实用性和可推广性。

Aiming at the problem that the traditional tracking algorithm has large amount of calculation and low accuracy while tracking near space hypersonic target, a kind of variable structure multiple model tracking algorithm was proposed. Established a kind of variable probability and variable model number target model on the basis of analyzing the traditional tracking algorithm, identified the target flight phase with the target motion state identification method, and selected the appropriate filter model and the model transition probability to realize variable structure multiple model tracking. The Monte Carlo simulation results show that, the new algorithm can realize tracking the near space hypersonic vehicle effectively, and the tracking performances are superior to the traditional variable structure multiple model tracking algorithm, it has certain practicability and popularization.