J4 ›› 2007, Vol. 29 ›› Issue (11): 56-59.
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吴阳[1,2] 张晶炜[3]
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摘要:
为解决集中式多传感器系统中的多目标跟踪问题,本文运用模糊理论提出了一种多传感器模糊联合概率数据互联算法。该算法首先应用模糊数学的方法计算测量点迹与航迹测 量预测之间的模糊综合相似度;然后运用阈值判别及经验概率法则给出模糊联合互联概率的计算方法,并提出了顺序处理结构的多传感器模糊联合概率数据互联算法的状态估 估计模型;最后给出了该算法与经典的多传感器联合概率数据互联算法的仿真比较。仿真结果表明,本文算法的综合性能更优越。
关键词: 多目标跟踪 数据互联 模糊理论
Abstract:
In order to solve the problem of multitarget tracking, a sequential multisensor fuzzy joint probabilistic data association algorithm (MSFJPDA) is pr esented in this paper. At first, the synthesis similarity between measurement and prediction is calculated with a method of fuzzy mathematics. Then the association probability can be calculated with the threshold distinction principle and the experiential probability principle. Finally, the sequential multisensor fuzzy joint probabilistic data association algorithm is presented. In this paper,some typical simulations are used to compare the performance of the MSFJPDA algorithm with that of the MSJPDA method,and the results show that the synthesis performance of the SFJPDA algorithm is better.
Key words: multitarget tracking, data association, fuzzy theory
吴阳[1,2] 张晶炜[3]. 顺序结构多传感器模糊联合概率数据互联算法[J]. J4, 2007, 29(11): 56-59.
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http://joces.nudt.edu.cn/CN/Y2007/V29/I11/56