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Paper data
Subspace detectors for multichannel signals

Olmos Salvador, University of Zaragoza (Spain)
Martinez Juan Pablo, University of Zaragoza (Spain)
Sörnmo Leif, Lund University (Sweden)

Page numbers in the proceedings:
Volume II pp 645-648

Subspace Detection and Estimation

Paper 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.

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