Study on target tracking algorithm in active and passive radar seeker data fusion

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’ lea...

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Bibliographic Details
Main Authors Zhang, Xing, Chen, ZiHong, Liu, Wei
Format Conference Proceeding
LanguageEnglish
Published SPIE 01.06.2023
Online AccessGet full text
ISBN1510666435
9781510666436
ISSN0277-786X
DOI10.1117/12.2682576

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Summary: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．
Bibliography:Conference Date: 2023-01-06|2023-01-08
Conference Location: Changsha, China
ISBN:1510666435
9781510666436
ISSN:0277-786X
DOI:10.1117/12.2682576