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On Blind MIMO System Identification Based on Second-Order Cyclic Statistics
Joint Authors
Adib, A.
Sabri, K.
El Badaoui, M.
Aboutajdine, D.
Guillet, F.
Source
Research Letters in Signal Processing
Issue
Vol. 2008, Issue 2008 (31 Dec. 2008), pp.1-5, 5 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2008-02-25
Country of Publication
Egypt
No. of Pages
5
Main Subjects
Abstract EN
This letter introduces a new frequency domain approach for either MIMO System Identification or Source Separation of convolutive mixtures in cyclostationary context.
We apply the joint diagonalization algorithm to a set of cyclic spectral density matrices of the measurements to identify the mixing system at each frequency up to permutation and phase ambiguity matrices.
An efficient algorithm to overcome the frequency dependent permutations and to recover the phase, even for non-minimum-phase channels, based on cyclostationarity is also presented.
The new approach exploits the fact that each input has a different and specific cyclic frequency.
A comparison with an existing MIMO method is proposed.
American Psychological Association (APA)
Sabri, K.& El Badaoui, M.& Guillet, F.& Adib, A.& Aboutajdine, D.. 2008. On Blind MIMO System Identification Based on Second-Order Cyclic Statistics. Research Letters in Signal Processing،Vol. 2008, no. 2008, pp.1-5.
https://search.emarefa.net/detail/BIM-479764
Modern Language Association (MLA)
Sabri, K.…[et al.]. On Blind MIMO System Identification Based on Second-Order Cyclic Statistics. Research Letters in Signal Processing No. 2008 (2008), pp.1-5.
https://search.emarefa.net/detail/BIM-479764
American Medical Association (AMA)
Sabri, K.& El Badaoui, M.& Guillet, F.& Adib, A.& Aboutajdine, D.. On Blind MIMO System Identification Based on Second-Order Cyclic Statistics. Research Letters in Signal Processing. 2008. Vol. 2008, no. 2008, pp.1-5.
https://search.emarefa.net/detail/BIM-479764
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-479764