DocumentCode :
3482974
Title :
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
Link To Document :
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