Target tracking algorithm in standoff jammer using H infinity filter

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