A Tracking Algorithm of Communication/Rader Countermeasure Reconnaissance Information Fusion Based on MSPDAF

In the electronic countermeasure reconnaissance system,sensors may be interfered so that the target tracking effect is reduced.This paper applies the information fusion algorithm of multisensor probabilistic data association filtering(MSPDAF)to the electronic countermeasure reconnaissance field,fuses the data observed from communication countermeasure reconnaissance and radar countermeasure reconnaissance.The computer simulation result shows that the algorithm can solve the tracking precision decline problem when the single sensor is interfered and it is valuable for improving anti-jamming performance of electronic countermeasure reconnaissance system.