Journal of Projectiles, Rockets, Missiles and Guidance >
Study on Target Tracking Algorithm in Active and Passive Radar Seeker Data Fusion
Received date: 2014-07-07
Online published: 2025-05-26
During active and passive radar seeker tracking target, in order to effectively fuse information detected by two seekers for precise tracking, in this paper, BP neural network was used to classify the information into two different kinds, then fuzzy system was applied to adjust BP neural network' learning speed based on target's maneuver extent, at the same time, adjust the fusion center's parameter based on target's distance. Computer simulation shows that compared with traditional method, this method can conduct target tracking perfectly, it is proved to be ascendant.
ZHANG Xing , LI Gang , FENG Dan , WANG Yao , WEN Xianfu . Study on Target Tracking Algorithm in Active and Passive Radar Seeker Data Fusion[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2015 , 35(3) : 5 -8 . DOI: 10.15892/j.cnki.djzdxb.2015.03.002
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