Trajectory tracking of high speed maneuvering target in air by composite particle filter

Abstract

High speed maneuverable aerial vehicle has the characteristics of strong maneuverability, fast flight speed and long combat distance. It is difficult for the existing defense system to track its flight trajectory effectively. The filtering algorithm is the key technology to improve the accuracy and reliability of maneuvering target trajectory tracking. A single observer can’t accurately track a target over long distances. The single nonlinear filtering algorithm has a large error in tracking the motion state information of the target, such as angular velocity and velocity. In this paper, a composite particle filter method is proposed. Firstly, a multi-observer cooperative tracking method is adopted to solve the problem of low tracking accuracy of a single observer for high maneuvering target in near space. Secondly, an interactive multi-model quadratic particle filtering method is used to accurately fit the motion state information of high maneuvering target in near space. The trajectory tracking method of composite particle filter proposed in this paper achieves accurate and stable tracking of the target flight state. In the simulation environment of this paper, the angular velocity tracking error and velocity tracking error are reduced by at least 25% and 20%.