基于转换瑞利滤波器的红外目标跟踪算法

An Algorithm of Target Tracking with IRSTs Based on the Shifted Rayleigh Filter

利用转换瑞利滤波器(SRF),研究了仅有角度量测的单站红外目标跟踪问题,推导了基于SRF的红外目标跟踪算法,并给出了具体步骤。该算法利用量测方程本身的非线性结构,仅在每次迭代时用"匹配"的正态分布近似代替方位量测的条件概率分布,减小了引入误差。仿真实验表明在红外目标跟踪领域,与以往EKF类的方法相比,该算法实现简单、计算量小、鲁棒性好且滤波精度较高,具有良好的实际应用价值。

By means of the shifted Rayleigh filter, the problem on target tracking with IRSTs in single observer is studied. Subsequently an algorithm of target tracking with IRSTs is deduced and its procedures are given in detail. This algorithm exploits the basic structure of the nonlinearities present in measurement equation and the only introducing approximation is to replace a conditional probability distribution of beating measure by a matched normal distribution. The simulation results show that the algorithm outperforms the one based on EKF in tracking accuracy, stability, less computationally demanding and implemented easily. So it is worthy to be applied widely in oractice.