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Recursive track-before-detect with target amplitude fluctuations

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3 Author(s)
Rutten, M.G. ; Tracking & Sensor Fusion, Surveillance & Reconnaissance Div., Defence Sci & Technol. Organ., Edinburgh, SA, Australia ; Gordon, N.J. ; Maskell, S.

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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Radar, Sonar and Navigation, IEE Proceedings -  (Volume:152 ,  Issue: 5 )