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An overview of extended target tracking techniques for radar sensor network data. Vivone, Gemine ; Braca, Paolo. CMRE-FR-2015-017. December 2015.

Ship traffic monitoring and port protection represent big challenges and intensive research activities are focused on these topics. Radars are widely exploited technologies for these purposes. The CMRE?s radar sensor network installed in the Gulf of La Spezia, Italy, is an example of a bistatic high resolution radar network to detect and track targets in maritime environment. It consists of an X-band Marine radar and an inverse synthetic aperture radar. In this report, we present several approaches to track extended targets (i.e. targets that occupy more than one radar cell) using data acquired by the radar sensor network. A fully Bayesian solution to the filtering problem for extended target tracking is presented first. Proper measurement models to deal with the radar?s measurement noise and its conversion into Cartesian coordinates are presented for both the monostatic case and the bistatic case. A gamma Gaussian inverse Wishart probability hypothesis density tracker is also provided to address the problem of the multiple extended target tracking in a cluttered environment. The proposed converted measurements model is also integrated in the above-mentioned approach. Finally, a signal processing chain based on a pixel-wise detector and a joint probability data association tracker is proposed to track extended targets reducing the computational burden and meeting the real time requirement.