Title :
A Tunable W-ABORT-Like Detector with Improved Detection vs Rejection Capabilities Trade-Off
Author :
Coluccia, Angelo ; Ricci, Giuseppe
Author_Institution :
Dipt. di Ing. dell´Innovazione, Univ. of Salento, Lecce, Italy
Abstract :
Adaptive radar detection of point-like targets in presence of disturbance with unknown spectral properties is addressed. By relaxing the assumptions of the W-ABORT, a tunable detector with improved detection vs rejection trade-off is proposed. To this aim, the presence of a fictitious signal under the null hypothesis is modeled probabilistically, so that an additional degree of freedom is introduced in the statistic of the detector. The resulting parametric GLRT shows a range of possible behaviors, from Kelly´s detector to the plain W-ABORT. Monte Carlo simulations reveal that an improved compromise can be obtained. Simple closed-form approximations are also given with near-optimal performance, so that the ultimate computational complexity remains comparable to that of the W-ABORT.
Keywords :
Monte Carlo methods; adaptive signal detection; object detection; radar detection; Kelly detector; Monte Carlo simulations; adaptive radar detection; closed-form approximations; degree of freedom; disturbance; fictitious signal; improved detection trade-off; near-optimal performance; null hypothesis; parametric GLRT; point-like target detection; rejection capabilities trade-off; tunable W-ABORT-like detector; ultimate computational complexity; unknown spectral properties; Approximation methods; Covariance matrices; Detectors; Radar detection; Signal to noise ratio; ABORT; GLRT; adaptive radar detection; rejection capabilities;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2014.2364395