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Subspace detectors for multichannel signals

Olmos, Salvador ; Martinez, Juan Pablo and Sörnmo, Leif LU (2015) In European Signal Processing Conference 2015-March.
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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author
; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
European Signal Processing Conference
volume
2015-March
article number
7072145
publisher
European Signal Processing Conference, EUSIPCO
external identifiers
  • scopus:84960945658
ISSN
2219-5491
language
English
LU publication?
yes
id
e2b3838a-76f3-4619-9f1e-7c4e2c4a17f2
date added to LUP
2016-09-23 12:56:47
date last changed
2024-10-05 02:21:12
@article{e2b3838a-76f3-4619-9f1e-7c4e2c4a17f2,
  abstract     = {{<p>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.</p>}},
  author       = {{Olmos, Salvador and Martinez, Juan Pablo and Sörnmo, Leif}},
  issn         = {{2219-5491}},
  language     = {{eng}},
  month        = {{03}},
  publisher    = {{European Signal Processing Conference, EUSIPCO}},
  series       = {{European Signal Processing Conference}},
  title        = {{Subspace detectors for multichannel signals}},
  volume       = {{2015-March}},
  year         = {{2015}},
}