CFAR detection of chirplets in coloured Gaussian noise

Author

Lopez-Risuerio, G. ; Grajal, Jesus ; Yeste-Ojeda, Omar A.

Author_Institution

Departamento de Senales, Sistemas y Radiocomunicaciones, Univ. Politecnica de Madrid, Spain

Volume

6

fYear

2003

fDate

6-10 April 2003

Abstract

Two detectors based on the GLRT (generalized maximum likelihood ratio test) are presented to detect a chirplet in coloured Gaussian noise for known and unknown covariance structures, respectively. They are applied to detect multiple chirplets by atomic decomposition, which is modified to account for the operating conditions of both detectors. Both detectors are CFAR with respect to the noise power. The second one is CFAR with respect to the covariance structure as well.

Keywords

Gaussian noise; chirp modulation; covariance analysis; iterative methods; maximum likelihood estimation; probability; signal detection; CFAR detection; GLRT; atomic decomposition; chirplets; coloured Gaussian noise; covariance structure; false alarm probability; generalized maximum likelihood ratio test; iterative estimation algorithm; maximum likelihood estimation; signal detection; Chirp; Detectors; Dictionaries; Gaussian noise; Maximum likelihood detection; Maximum likelihood estimation; Radar detection; Signal analysis; Signal detection; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on

ISSN

1520-6149

Print_ISBN

0-7803-7663-3

Type

conf

DOI

10.1109/ICASSP.2003.1201788

Filename

1201788