based on multi-sensor data fusion technique, this paper investigates data fusion algorithm based on the passive location observation characteristics, synchronizing algorithm for passive location nonuniformly-sampled data and data fusion algorithm under complex environment based on the neuro network-fuzzy reasoning theory . firstly, with the in-depth analysis of observation characteristics, a multi-dimension track correlation algorithm is proposed 本論文以多傳感器數(shù)據(jù)融合技術為依托,重點研究無源定位系統(tǒng)數(shù)據(jù)融合的三個方面問題:基于無源定位系統(tǒng)的信息觀測特性的數(shù)據(jù)融合方法,無源定位系統(tǒng)非均勻數(shù)據(jù)同步化算法以及基于神經(jīng)網(wǎng)絡-模糊推理理論的復雜環(huán)境下多無源定位系統(tǒng)融合算法。