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作 者:王林茜 胡晓曦[1] 韩勋[1] 匡银[1] 杨新权[1] WANG Linxi;HU Xiaoxi;HAN Xun;KUANG Yin;YANG Xinquan(China Academy of Space Technology(Xi'an),Xi'an 710000,China)
机构地区:[1]中国空间技术研究院西安分院
出 处:《空间电子技术》2019年第6期33-38,共6页Space Electronic Technology
摘 要:针对传统卡尔曼滤波算法中对于强机动目标跟踪性能较差的问题,文章提出了一种新的机动目标跟踪算法DS_STF_FI算法。该算法将强跟踪滤波引入到变结构多模型跟踪算法中,结合模糊逻辑推理来实现多模型间的信息交互,并通过有向图切换法实现模型集的自适应调整,从而使跟踪算法能够适应机动目标运动状态的变化。仿真结果表明,与基于卡尔曼滤波的DS_KF_FI算法相比,文章提出的算法的跟踪性能明显提高,且具有较高的算法费效比。在机动目标跟踪领域具有广泛的应用前景。Aiming at the poor tracking performance of traditional Kalman filter algorithm for strong maneuvering target,a new maneuvering target tracking algorithm DS_STF_FI is proposed in this paper.In this algorithm,strong tracking filter is introduced into the variable structure multi-model tracking algorithm,and the information interaction among the multi-models is realized by the fuzzy logic reasoning.The model set is adaptively adjusted by the directed graph switching method,so that the tracking algorithm can adapt to the change of the moving state of the maneuvering target.The simulation results show that,compared with the DS_KF_FI algorithm based on Kalman filter,the tracking performance of the proposed algorithm is significantly improved,and the cost-effectiveness ratio of the algorithm is high.It has a wide application prospect in the field of maneuvering target tracking.
关 键 词:强跟踪滤波 模糊逻辑推理 有向图切换 目标跟踪 变结构多模型
分 类 号:V474[航空宇航科学与技术—飞行器设计]
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