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基于模糊加权的分布式IMMJPDA算法
引用本文:党玲,许江湖.基于模糊加权的分布式IMMJPDA算法[J].舰船科学技术,2012(4):67-70,74.
作者姓名:党玲  许江湖
作者单位:1. 海军大连舰艇学院,辽宁大连,116018
2. 海军工程大学电子工程学院,湖北武汉,430033
基金项目:中国博士后科学基金资助项目
摘    要:提出了一种基于模糊加权的分布式交互多模型联合概率数据互联算法.该算法在融合中心采用模糊加权方法对不同传感器关于同一目标的模型概率、状态估计及其协方差进行融合,而模糊权值为各传感器关于各目标的状态估计协方差的迹的隶属度.最后通过计算机仿真验证了该算法的正确性和有效性.

关 键 词:分布式多传感器多目标跟踪  交互多模型  模糊加权

Distributed interacting multiple model joint probabilistic data association algorithm based on fuzzy weighted method
DANG Ling , XU Jiang-hu.Distributed interacting multiple model joint probabilistic data association algorithm based on fuzzy weighted method[J].Ship Science and Technology,2012(4):67-70,74.
Authors:DANG Ling  XU Jiang-hu
Institution:1.Dalian Naval Academy,Dalian116018,China; 2.College of Electronics Engineering,Naval University of Engineering,Wuhan430033,China)
Abstract:A distributed interacting multiple model joint probabilistic data association algorithm based on fuzzy weighted method is presented in this paper.The model probabilities,state estimation and its covariance of same target corresponding to different sensors are fused in the fusion centre using fuzzy weighted method in the algorithm.The fuzzy weight is membership degree of trace of covariance of same target corresponding to different sensors.The validity and effectivity of the algorithm are tested by computer simulation.
Keywords:distributed multisensor multitarget tracking  interacting multiple model  fuzzy weight
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