一种自适应高超声速目标跟踪算法

Algorithm for Adaptive Tracking Hypersonic Targets

根据临近空间高超声速目标运动特点,建立了临近空间高超声速目标飞行模型.在Singer模型基础上,针对跟踪临近空间高超声速目标时采样时间为一定值的缺点,运用交互多模型算法,并引入跟踪采样时间间隔实时递推公式法,提出了一种采样时间自适应的高超声速目标跟踪算法.仿真实验表明,相比改进前的算法,新算法虽然在初始阶段因为采样初始值设置不合理,造成局部误差相对比较大,但总体上来看,改进后算法在跟踪精度上明显优于改进前算法.

According to the motion features of hypersonic targets in near space, this paper establishes a model for hypersonic target flying in near space. Based on a Singer model, and aimed at the drawback that the sampling time is a constant when tracking hypersonic target in near space, a sort of algorithm for hypersonic target tracking with the sampling time being adaptive is put forward, by applying the interactive multi-model algorithm and introducing the real time recursion formula of tracking the sampling time interval. Simulation experiments show that the new algorithm could result in the local error being greater relatively at the initial phase, due to the sampling initial value being set unreasonably, but in general, the tracking precision of the improved algorithm is clearly superior to that of the previous one, compared to the unimproved one.