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基于S-D分配的多传感器联合概率数据互联算法
引用本文:熊伟,张晶炜,何友.基于S-D分配的多传感器联合概率数据互联算法[J].清华大学学报(自然科学版),2005,45(4):452-455.
作者姓名:熊伟  张晶炜  何友
作者单位:海军航空工程学院,信息融合技术研究所,烟台,264001;海军航空工程学院,信息融合技术研究所,烟台,264001;海军航空工程学院,信息融合技术研究所,烟台,264001
基金项目:国家自然科学基金资助项目(60172033),全国优秀博士论文作者专项资金资助项目(200036)
摘    要:为解决集中式多传感器系统中多目标跟踪问题,提出了一种基于S-D分配的集中式多传感器联合概率数据互联算法。算法首先应用广义S-D分配的规则对每个传感器送来的观测数据进行排列组合,然后对每个组合中各量测点进行概率加权以获得一个等效量测点,最后根据每个等效量测点的联合似然函数计算其联合互联概率并获得融合中心的状态估计。该文最后给出了该算法与已有集中式多传感器联合概率数据互联算法的仿真比较,仿真结果表明该文算法的跟踪性能更优越。

关 键 词:多目标  集中式  多传感器  联合概率  数据互联
文章编号:1000-0054(2005)04-0452-04
修稿时间:2004年5月10日

Multisensor joint probabilistic data association algorithm based on S-D assignments
XIONG Wei,Zhang Jingwei,HE You.Multisensor joint probabilistic data association algorithm based on S-D assignments[J].Journal of Tsinghua University(Science and Technology),2005,45(4):452-455.
Authors:XIONG Wei  Zhang Jingwei  HE You
Abstract:Multitarget tracking with centralized multiple sensors is improved using a multisensor joint probabilistic data association algorithm based on S-D assignments. The algorithm permutes and combines measurements from each sensor using the rules of the generalized S-D assignment algorithm. Then, all the measurements in each assignment are combined into one equivalent measurement according to their weights in the assignment. Finally, the joint association probability of each equivalent measurement is calculated to obtain the state estimate of the fusion center. Typical simulations show that the algorithm is more effective than the centralized multisensor joint probabilistic data association method.
Keywords:multitarget  centralized  multisensor  joint probabilistic  data association
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