Abstract

We address adaptive detection of coherent signals backscattered by possible point-like targets or originated from electronic countermeasure (ECM) systems in presence of thermal noise, clutter, and possible noise-like interferers. In order to come up with a class of decision schemes capable of discriminating between targets and ECM signals, we resort to generalized likelihood ratio test (GLRT) implementations of a generalized Neyman-Pearson rule (i.e., for multiple hypotheses). The adaptive detectors rely on secondary data, free of signal components, but sharing the statistical characterization of the noise in the cell under test. The performance assessment focuses on an adaptive beamformer orthogonal rejection test (ABORT)-like detector; analytical expressions for the probability of false alarm, the probability of detection of the target, and the probability of blanking the ECM (coherent) signal are given. More remarkably, it guarantees the constant false alarm rate (CFAR) property. The performance assessment shows that it can outperform the adaptive sidelobe blanker (ASB) in presence of ECM systems.

Autore Pugliese

• Ricci Giuseppe , Bandiera Francesco

Tutti gli autori

• F. Bandiera , A. Farina , D. Orlando , G. Ricci

Titolo volume/Rivista

IEEE TRANSACTIONS ON SIGNAL PROCESSING

Anno di pubblicazione

2010

ISSN

1053-587X

ISBN

Non Disponibile

Numero di citazioni Wos

31

Ultimo Aggiornamento Citazioni

28/04/2018

Numero di citazioni Scopus

56

Ultimo Aggiornamento Citazioni

28/04/2018

Settori ERC

Non Disponibile

Codici ASJC

Non Disponibile