Passive Localization Method Based on Range-Parameterised Cubature Kalman Filter

Aiming at the problem of low positioning accuracy caused by the uncertainty of the initial distance of the target in single-station passive localization. This paper proposes a passive localization method based on range-parameterised Cubature Kalman filter. Firstly, the detection range is divided into several intervals, and each interval will be set with an initial weight. Secondly, in each interval, the CKF filter is introduced and the filter weight is adjusted. The simulation results show that the method in this paper can effectively improve the accuracy of target tracking.