A Passive Locating Algorithm for Motive Target Based on Modified Particle Filter Method

Abstract

Passive tracking of motive target is in difficulty and interacting multiple model (IMM) is the classical method that requires accurate and timely target maneuver detection. In order to passively locate moving target using aerial mobile observe, a new hybrid particle filter positioning algorithm is proposed based on bearings crossing locating method. According to the existing initialization problems of particle filter, the new algorithm gets the proposal distribution from bearings crossing locating method and generates the required particles by the constraints of angle measurement to state variables. It avoids the randomness when generating particles and brings down the number of required particles in high dimensional cases. As a result, the present algorithm reduces the computing costs and improves real-time performance of the particle filter. By simulation analysis with particle filter, the new algorithm shows the superior positioning ability to other methods.