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21 September 2004 Classification of moving targets by a distributed sensor network
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We present a procedure for classification of targets by a network of distributed radar sensors deployed to detect, locate and track moving targets. Estimated sensor positions and selected positions of a target under track are used to obtain the target aspect angle as seen by the sensors. This data is used to create a multi-angle profile of the target. Stored target templates are then matched in the least mean square sense with the target profile. These templates were generated from radar return signals collected from selected targets on a turntable. Probabilities of correct classification obtained by a simulation of the classification procedure are given as functions of signal-to-noise ratios and errors in estimates of target and sensor locations.
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Hiralal C. Khatri, Getachew Kirose, Kenneth Ranney, and Roberto Innocenti "Classification of moving targets by a distributed sensor network", Proc. SPIE 5426, Automatic Target Recognition XIV, (21 September 2004);

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