基于IEKF的外辐射源雷达目标跟踪方法OA

In recent years,passive radar detection has become a research hotspot in radar field because of its excellent anti-jam-ming,anti-reconnaissance and anti-stealth ability.To improve the performance of radar in the sending and receiving split state,a target positioning and tracking method for passive radar system is proposed in this paper.Firstly,the location information of target is obtained by time difference between detecting beams and the triangulation of radiation source,target and radar,and the influence of measurement error on target range accuracy is analyzed.Secondly,according to the operational characteristics of passive radar systems,a reasonable target observation vector is constructed,and an approximate Jacobi matrix for the nonlinear measurement function is derived,then a tracking method based on the extended Kalman filter is developed.Finally,aiming at the truncation er-rors introduced by nonlinear transformation,an adaptive iterated extended Kalman filter algorithm is proposed to achieve high preci-sion estimation of target location.The simulation results show that the proposed method provides good performance in target track-ing,and it is demonstrated to be more general and practical in passive radar.