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 本论文以多传感器数据融合技术为依托,重点研究无源定位系统数据融合的三个方面问题:基于无源定位系统的信息观测特性的数据融合方法,无源定位系统非均匀数据同步化算法以及基于神经网络-模糊推理理论的复杂环境下多无源定位系统融合算法。