基于模糊加权的分布式IMMJPDA算法

摘要

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.%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.