关键词: 无源跟踪, 当前统计模型, 机动目标, 自适应, 修正系数, 模糊控制

Abstract: Aiming at the defect that normal current statistical model can not adjust the limits of target acceleration adaptively in passive tracking, a correctional coefficient is designed, through the current acceleration of maneuvering targets to adjust the limits of target acceleration adaptively. Meanwhile, with fuzzy control, the correctional coefficient is adjusted in real-time, then the model is improved. Finally, this improved model is combined with a Cubature Kalman Filter（CKF）to form the modified current statistic model for the passive tracking algorithm. Simulation results show that, compared with the adaptive tracking algorithm based on normal current statistical model, the new algorithm has better performance on tracking non-maneuvering and weak and strong maneuvering targets.

Key words: passive tracking, current statistical model, maneuvering targets, adaptive, correctional coefficient, fuzzy control