This paper addresses the problem of early detection of K >=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.

Detection of an unknown number of targets via track-before-detect procedures

STEFANO BUZZI;MARCO LOPS;
2007

Abstract

This paper addresses the problem of early detection of K >=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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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11588/750520
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