Abstract:

 A robust H∞ fusion tracking algorithm is derived to track a maneuvering air target based on the current statistical model, this tracking model is established by using the multiple stations passive infrared search and tracking (IRST) system. The robust H∞fusion tracking algorithm is based on the combination of H∞filter algorithm and central fusion tracking structure. This fusion tracking algorithm can solve the observability and nonlinear problems of the passive target tracking system simultaneously. The performance of the robust H∞ fusion tracking algorithm is verified by simulating the scenario of tracking a highly maneuvering air target by using three IR observations. The simulation results show that the robust H∞ fusion tracking algorithm has higher tracking precision than traditional extended Kalman filter (EKF). The robust H∞fusion tracking algorithm is an effective tracking algorithm for IRST systems.