Proceedings of the IEEE National Radar Conference · 2007 · 22 citations · 13 references
Natural SciencesComputer ScienceMathematicsComputer VisionEarly DetectionOptimizationMaximum Likelihood EstimationRadar Signal ProcessingRadar SystemsSignal Detection TheoryDetectionLikelihood Ratio TestingMoving Target DetectionMultitarget TrackingRadar Detection TheoryRadar TrackingTarget DetectionTarget Tracking
This paper addresses the problem of early detection of K ges 1 multiple moving targets in radar systems through the use of track-before-detect (TBD) techniques. Assuming prior knowledge of K, a binary generalized likelihood ratio test (GLRT) is first derived, which shows that the multi-target TBD problem can be regarded as a K path trellis search. Next, a novel multi-hypothesis test strategy is presented for K unknown as the solution of a constrained optimization problem, which subsumes the convectional binary GLRT. Both optimal and sub-optimal implementations of the proposed TBD strategies are discussed which allow to trade better detection and tracking performances with a lower computational burden. Numerical examples are also provided and commented.
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