Detection in the Presence of Surprise or Undernulled Interference

Author

Besson, Olivier

Author_Institution

Dept. of Avionics & Syst., ENSICA, Toulouse

Volume

14

Issue

5

fYear

2007

fDate

5/1/2007 12:00:00 AM

Firstpage

352

Lastpage

354

Abstract

We consider the problem of detecting a signal of interest in the presence of colored noise, in the case of a covariance mismatch between the test cell and the training samples. More precisely, we consider a situation where an interfering signal (e.g., a sidelobe target or an undernulled interference) is present in the test cell and not in the secondary data. We show that the adaptive coherence estimator (ACE) is the generalized likelihood ratio test for such a problem, which may explain the previously observed fact that the ACE has excellent sidelobe rejection capability, at the price of low mainlobe target sensitivity

Keywords

adaptive estimation; adaptive signal detection; coherence; covariance matrices; interference suppression; maximum likelihood detection; ACE; adaptive coherence estimator; colored noise; covariance mismatch; generalized likelihood ratio test; interfering signal; mainlobe target sensitivity; sidelobe rejection capability; signal detection; undernulled interference; Coherence; Colored noise; Covariance matrix; Detectors; Helium; Interference; Sensor arrays; Signal detection; Testing; Working environment noise; Adaptive coherence estimator (ACE); adaptive detection; covariance mismatch; generalized likelihood ratio test (GLRT); sidelobe target;

fLanguage

English

Journal_Title

Signal Processing Letters, IEEE

Publisher

ieee

ISSN

1070-9908

Type

jour

DOI

10.1109/LSP.2006.888295

Filename

4154722