摘要
基于估计理论和模糊系统理论，提出了一种模糊逻辑和概率交互作用的数据关联算法，以解决密集杂波干扰环境中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．提高了杂波环境中机动目标的跟踪性能．
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
《西安电子科技大学学报》
EI
CAS
CSCD
北大核心
1999年第2期154-159,共6页
Journal of Xidian University
基金
国防科工委预研基金
关键词
数据关联算法
密集杂波环境
机动目标跟踪
PDAF
fuzzy logic probability interacting data association heavily cluttered enviroment tracking meanoeuvring target
