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中文摘要：
针对非线性观测条件下的机动目标跟踪问题,基于机动目标的协同转弯模型,采用防发散无迹卡尔曼滤波方法和自适应网格的模型集自适应策略,研究了一种变结构交互式多模型算法。对二维机动目标跟踪的仿真结果表明,该算法与相应的固定结构交互式多模型算法相比,可以解决固定结构多模型算法存在的问题,有效提高多模型算法的精度和费效比,缩短计算时间,且适合工程应用。
英文摘要：
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.
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