Study of multi-sensor joint probabilistic data association in multi-sensor data fusion system
Wang Bao-shu · Jisuanji gongcheng · 2005
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.