Analysis of the maneuvering target tracking method for cognitive radar and simulation studying

摘要

Because of the increase complex electromagnetism environment and the diversification of target maneuvering type, radar faces severe challenges in air defense. For these reasons, considered the tracking technology of self-adaption radar, cognitive radar was proposed. This article particularly described the work principles and constructions of the cognitive radar firstly; and secondly discuss the PF (particle filter) and its update NPF (new particle filter) algorithms. Moreover, aiming at the shortcomings of the maneuvering turn target model, a new model, named “SS maneuvering”, is proposed. At last, the simulation of “SS-maneuvering” tracking using PF and NPF algorithms demonstrates that the estimation accuracy of PF is higher than NPF.