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Current Statistic Model and Adaptive Tracking Algorithm Based on Strong Tracking Filter

FAN Xiao-jun,LIU Feng,QIN Yong,ZHANG Jun(School of Electronic Information Engineering,Beihang University,Beijing 100083,China)  
A new adaptive maneuvering target tracking algorithm STF-CS is presented based on the "current" statistical model(CS).By introducing a fading factor of Strong Tracking Filter(STF),this algorithm improves the adaptive tracking performance greatly when there is a sudden maneuver,and has the same high precision to track common maneuvering targets as the "current" statistical model and adaptive tracking algorithm.Simulation results show that,when there is only common maneuver the performance of the two algorithms is the same,when there is a sudden maneuver,the performance of STF-CS is much better than the CS.
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