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
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;
Conference_Titel :
Signal Processing Conference, 2002 11th European
Conference_Location :
Toulouse
