An Adaptive Track Method for High Maneuvering Target

A new adaptive track method (HMIMMCV/CAT) is introduced to improve the tracking precision for high maneuvering target. First, by maneuvering test to distinguish the target in the nonmotorized segment or motorized segment, Kalman filter algorithm and interactive multimode are applied, respectively, to track the target. Second, an optimal model is selected from the discrete model set by estimating angular velocity so as to match the real system mode in the maneuvering segment, meantime, keep the number of model on the low side. The Monte Carlo simulation results show that the proposed algorithm is much suitable for the maneuvering tracking, compared with some similar algorithms.