摘要
本文基于估计理论和模糊系统理论,提出了一种多传感器多回波模糊一概率交互作用的数据关联滤波算法,以解决密集杂波干扰环境中多传感器跟踪机动目标的数据关联问题模糊关联度和关联概率共同组成了各有效回波的加权系数,弥补了概率数据关联滤波方法(PDAF)的不足.
Based on the theory of the estimation and fuzzy logical system, this paper proposes a data association algorithm of the fuzzy logic probability interacting, to solve the data association problems typically encountered in tracking a manoeuvring target in a heavily cluttered environment. The combination of fuzzy association degree and probabilistic association forms the weights for which the ith received measurement is target originated. The proposed data association algorithm overcomes the weaknesses of probabilistic data association filter (PDAF), and improves the performance of tracking a meanoeuving target in a heavily cluttered environment.
出处
《电子学报》
EI
CAS
CSCD
北大核心
1999年第12期30-34,共5页
Acta Electronica Sinica
基金
国防科技预研基金
关键词
杂波
估计
数据关联
模糊系统
滤波
传感器
fuzzy logic probability interacting data association heavily cluttered enviroment tracking meanoeuvring target