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基于期望系统噪声的自适应机动目标跟踪研究
引用本文:冯立杰,朱亚坤.基于期望系统噪声的自适应机动目标跟踪研究[J].武警工程学院学报,2012(2):35-38.
作者姓名:冯立杰  朱亚坤
作者单位:[1]武警工程大学通信工程系,陕西西安710086 [2]武警工程大学研究生管理大队,陕西西安710086
摘    要:状态估计是目标跟踪中的基本问题,也是目标跟踪的一个难点。首先对标准IMM算法的优缺点进行了论述,针对其缺点和不足,提出了基于期望系统噪声模型(MIMM)的自适应多模型算法,该算法能有效地对机动目标的状态进行自适应估计。仿真结果表明,该算法比标准的IMM算法有较好的改善。

关 键 词:目标跟踪  状态估计  IMM算法  自适应估计

Research on Adaptive Maneuvering Target Tracking Based on the Expectation System Noises
FENG Li-jie,ZHU Ya-kun.Research on Adaptive Maneuvering Target Tracking Based on the Expectation System Noises[J].Journal of Engineering College of Armed Police Force,2012(2):35-38.
Authors:FENG Li-jie  ZHU Ya-kun
Institution:1. Communication Engineering Deparcmeut ; 2. Postgraduate Brigade, Engineering University of CAPF, Xi'an 710086, China)
Abstract:State estimation is the basal problem of target tracking, but also the basic problem is a difficul- ty. In this paper, first, the advantages and disadvantages of standard IMM algorithm is discussed, and accord- ing to the shortcomings and the insufficiency, It was put forward that was based on the expectation system noise model adaptive multiple model algorithm. The proposed algorithm can effectively solve maneuvering target state of the adaptive estimation. The simulation results show that this algorithm has better improvement than stand- ard IMM algorithm.
Keywords:target tracking  state estimation  IMM algorithm  adaptive estimation
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