DocumentCode
2237252
Title
Subspace detectors for multichannel signals
Author
Olmos, Salvador ; Martinez, Juan Pablo ; Sornmo, Leif
Author_Institution
Dept. of Electron. & Commun. Eng., Univ. of Zaragoza, Zaragoza, Spain
fYear
2002
fDate
3-6 Sept. 2002
Firstpage
1
Lastpage
4
Abstract
In this paper a multichannel subspace detector is proposed based on a separable spatio-temporal linear model. The generalized likelihood ratio test (GLRT) for this model is derived for the case of coloured Gaussian noise and known temporal and covariance matrices. Simulation results support the theory and illustrate the benefits of the spatio-temporal detector versus channel-by-channel detectors for low values of SNR.
Keywords
Gaussian noise; covariance matrices; signal detection; GLRT; SNR; channel-by-channel detectors; coloured Gaussian noise; covariance matrices; generalized likelihood ratio test; multichannel signals; separable spatiotemporal linear model; subspace detectors; temporal matrices; Abstracts; Biological system modeling; Electronic mail; Noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Conference, 2002 11th European
Conference_Location
Toulouse
ISSN
2219-5491
Type
conf
Filename
7072145
Link To Document