Title :
Detection of an Unknown Number of Targets via Track-Before-Detect Procedures
Author :
Buzzi, Stefano ; Lops, Marco ; Venturino, Luca ; Ferri, Maurizio
Author_Institution :
Univ. degli Studi di Cassino, Cassino
Abstract :
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.
Keywords :
maximum likelihood estimation; target tracking; K path trellis search; binary generalized likelihood ratio test; constrained optimization problem; target detection; track before detect procedure; Constraint optimization; Data mining; Lighting; Nonlinear optics; Object detection; Optical filters; Radar detection; Radar tracking; Target tracking; Testing;
Conference_Titel :
Radar Conference, 2007 IEEE
Conference_Location :
Boston, MA
Print_ISBN :
1-4244-0284-0
Electronic_ISBN :
1097-5659
DOI :
10.1109/RADAR.2007.374209