火力与指挥控制Issue(2)：40-44,5.
防发散无迹卡尔曼滤波自适应网格交互式多模型算法
Adaptive Grid Interacting Multiple Model Algorithm Based on Anti-divergent UKF
摘要
Abstract
Devoted to the problem of maneuvering target tracking under nonlinear observation,an Anti-Divergent Unscented Kalman Filtering (ADUKF)is developed in this paper,which uses the ideas for reference of S-amended anti-divergent method for Kalman filter in linear filtering and improves the performance of unscented Kalman filtering algorithm. Based on the Coordinated Turn (CT)models,a Variable Structure Multiple Model (VSMM)algorithm named adaptive grid interacting multiple model algorithm based on Anti-Divergent Unscented Kalman Filtering (ADUKF-AGIMM)is researched with the anti-divergent unscented Kalman filtering method mentioned above and adaptive strategy of Adaptive Grid (AG). Simulation results show that this algorithm can solve the problems of Fixed Structure Multiple Model(FSMM)algorithm,effectively improve the accuracy and cost-efficiency ratio of the multiple model algorithm,reduce the computation time in contrast to corresponding fixed structure algorithm,and is suitable for engineering applications.关键词
无迹卡尔曼滤波(UKF)/自适应网格(AG)/交互式多模型(IMM)/机动目标跟踪/变结构多模型(VSMM)Key words
Unscented Kalman Filter (UKF)/Adaptive Grid (AG)/Interacting Multiple Model (IMM)/maneuvering target tracking/Variable Structure Multiple Model(VSMM)分类
信息技术与安全科学引用本文复制引用
张园,董受全,钟志通,刘淑波,初俊博..防发散无迹卡尔曼滤波自适应网格交互式多模型算法[J].火力与指挥控制,2015,(2):40-44,5.基金项目
国家自然科学基金（61074053，61374114）；交通部应用基础基金资助项目 （）
