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标题:Recursive track-before-detect with target amplitude fluctuations
时间:2020-01-15 13:10:48
DOI:10.1049/ip-rsn:20045041
作者:Rutten, M.G.; Gordon, N.J.; Maskell, S.
关键词:Theoretical or Mathematical/ radar cross-sections; radar tracking; tracking filters/ recursive track-before-detect; target amplitude fluctuations; particle-based track-before-detect filtering algorithm; Swerling family; radar cross-section changes/ B6310 Radar theory B6140B Filtering methods in signal processing
出版源: IEE Proceedings-Radar, Sonar and Navigation ,152 (5) :345-0
摘要:A particle-based track-before-detect filtering algorithm is presented. This algorithm incorporates the Swerling family of target amplitude fluctuation models in order to capture the effect of radar cross-section changes that a target would present to a sensor over time. The filter is designed with an existence variable, to determine the presence of a target in the data, and an efficient method of incorporating this variable in a particle filter scheme is developed. Results of the algorithm on simulated data show a significant gain in detection performance through accurately modelling the target amplitude fluctuations
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