关键词: 数据融合, 多传感器联合概率数据互联, 近似多传感器联合概率数据互联, 最近邻法

Abstract: Multi-ensor Joint Probabilistic Data Association(MSJPDA) was presented. Approximate Multi-sensor Joint Probabilistic Data Association(AMSJPDA) as a new methodology was proposed by combining B. Zhou’s theory of the approximate probabilistic computing and direct probabilistic computing. The comparing AMSJPDA with NN (Nearest Neighbor) showed that using AMSJPDA could improve the precision of association in a complex environment. It demanded only a little more time than NN and the precision was as good as MSJPDA.

Key words: data fusion, MSJPDA(Multi-Sensor Joint Probabilistic Data Association), AMSJPDA (Approximate), Multi-Sensor Joint Probabilistic Data Association), NN (Nearest Neighbor)