Anti-packet loss collaborative filtering trajectory prediction of maneuvering target realistic true proportional navigation law interception guidance law

Abstract

In this paper, a realistic true proportional navigation (RTPN) law–guided interception method was designed based on anti-packet loss collaborative filtering track prediction, which solves the problems that traditional RTPN method not considers the interceptor saturation overload limit and the determination of the acquisition area of any maneuvering target. First, a distributed cooperative filtering algorithm is formulated to improve accuracy and robustness of data fusion caused by the measurement error of target trajectory and the packet loss of cooperative detection data in the process of interception. Then, a track prediction algorithm is proposed to improve the data transmission and the dynamic response delay of the interceptor itself. Finally, the simulation results are performed to illustrate the effectiveness of the developed approach.