Maneuvering target tracking based on improved particle filter

Abstract

UAVs(unmanned aerial vehicle) have been widely used in various industries. In order to solve the problem of tracking the maneuvering target by the photoelectric payload of the UAV, this paper proposes a tracking algorithm based on improved particle filter. It uses the direction finding cross positioning method to obtain the suggested distribution of particle filter initialization, and designs a simplified the particle filter sampling strategy.The tracking algorithm not only effectively improves the tracking accuracy of maneuvering targets, but also improves the real-time computing performance of the particle filter algorithm.