Maneuvering target tracking algorithm based on multi-station bearing-only passive location with incomplete observation

Bearing-only tracking analysis is a kind of nonlinear estimation problem, after the measurement equations are linearized processed, the estimate of the motor elements may appear bias or divergent phenomenon. This paper is aiming at target maneuver in passive bearing-only tracking with missing measurements. First, a fusion strategy is proposed. Then, basing on IMM, a multi-station bearing-only maneuvering target tracking method is proposed on the basis of least square method. The algorithm using least square method to roughly estimate the target location, avoiding the nonlinear filtering under angle measurement, and take this algorithm as the observation information of interactive multiple model filtering algorithm, finally realizes the passive tracking of maneuvering targets with missing measurements. Through computer simulation in this paper, the method is proved effective, and is better than multi-station CMKF filter in convergence speed and tracking accuracy.