基于H∞滤波的远距离干扰下的目标跟踪算法

Target tracking algorithm in standoff jammer using H infinity filter

提出了一种加权和(WS)-H∞滤波算法实现远距离干扰机(SOJ)环境下的目标跟踪。算法通过使用合适的传感器模型和高斯和(GS)似然函数,充分利用了干扰信息从而提高没有量测时的跟踪精度;同时针对干扰环境下的量测和干扰信息的统计分布不确定的特点,采用WS-H∞滤波算法提高整个跟踪系统的鲁棒性。仿真证明,WS-H∞滤波算法在量测噪声和干扰估计不准确时表现出了良好的鲁棒性,其航迹连续性和跟踪精度都明显优于GS扩展卡尔曼(GS-EKF)滤波算法,而计算复杂度却没有明显提高。

A weighted sum （WS） H infinity （H∞） filter algorithm is proposed for target tr acking in the standoff jammer （SOJ）.The algorithm takes full use of the jamming information by using an appropriate sensor model and Gau ssian sum likelihood function to improve the tracking accuracy when no measurement is received.Meanwhile,the H∞ infinity filter is a dopted to improve the robustness of the entire tracking system,accounting for the statistical distribution uncertainty of the measureme nt and the jamming information.Simulation results show that the weighted sum H infinity filter exerts good robustness when the assumpti ons of the measurement noise and the jamming estimation error are inaccurate,and its tracking continuity and tracking accuracy are signi ficantly superior to those of Gaussian sum extended Kalman filter without obviou s increase in computation complexity.