摘要
针对目标做高机动运动时跟踪误差增大的问题,提出了一种基于H∞次优滤波器的模糊鲁棒跟踪器。该跟踪器利用H∞次优滤波器的鲁棒性以快速减小由于目标机动产生的估计误差,实现对机动目标(尤其是高机动目标)的快速跟踪。同时,应用一系列的模糊规则在线自适应调整H∞次优滤波器的过程噪声协方差矩阵,使得该跟踪器可以精确跟踪非机动目标和机动目标。仿真结果表明,该跟踪器对机动目标和非机动目标的跟踪效果均很好,并且在目标从非机动到机动切换时,能够快速减小跟踪误差。
During tracking of a target, the tracking error increases dramatically when the target is highly maneuvering. To solve this problem, a fuzzy robust target tracker based on suboptimal filter is proposed. Due to the robustness of the suboptimal filter, the proposed tracker is able to quickly decrease the estimation errors generated by target maneuvering. At the same time, a set of fuzzy rules is used to adaptively adjust the process noise covariance of the suboptimal filter, so that the proposed tracker can track both non - maneuvering and maneuvering target accurately. Simulation results show that the proposed fuzzy robust tracker has good performance for tracking maneuvering target as well as non- maneuvering target. Also, it can decrease the tracking error quickly when the target switches from non - maneuver to maneuver state.
出处
《电光与控制》
北大核心
2006年第5期12-15,共4页
Electronics Optics & Control
基金
航空基础科学基金资助项目(03E51002)
