Distributed fusion of multisensor data based on probabilistic data fusion
Zhang Xin-hua · Kongzhi yu juece · 2004
When the abnormal datas of sensor exist, the traditional method can not eliminate abnormal datas. The distributed fusion of multisensor data based on probabilistic data fusion is proposed to overcome this problem. The area of state estimation to sensor is assumed to be the validation region, and the prediction of sensor fusion center is designed to be that of the validition region. Simulation results show that the algorithm based on PDA is superior to the traditional distributed fusion. The approach provides stability of the association event probability and increases the performance of target tracking.