Passive Localization Method Based on Cubature Kalman Filter

Abstract

In order to improve the performance of passive positioning and make up for the shortcomings of traditional technology, such as less information, slow positioning speed and low positioning accuracy, this paper proposes a pure angle target positioning method based on the cubature Kalman filter(CFK). Firstly, the posterior probability density function is calculated by the determined volume points, without the knowledge of the Jacobian matrix which is complex and hard to be solved. In addition, this method can effectively improve the accuracy of positioning. Simulation results show that, compared with the traditional method, the positioning accuracy of this method is higher.