A sequential subspace method for blind identification of general FIR MIMO channels

A sequential subspace method for blind identification of general FIR MIMO channels

This correspondence addresses the problem of blindly identifying multiple input multiple output (MIMO) finite impulse response (FIR) channels without the conventional assumption of identical column degrees. A subspace-based algorithm is developed that identifies the channel's columns sequential...

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Veröffentlicht in:IEEE transactions on signal processing 2005-10, Vol.53 (10), p.3906-3910
Hauptverfasser: Senjian An, Manton, J.H., Yingbo Hua
Format: Artikel
Sprache:eng
Schlagworte:
Algorithms
Applied sciences
Australia Council
Blind identification
Blinds
Channels
Colored noise
convolutive MIMO channels
Decorrelation
Detection, estimation, filtering, equalization, prediction
Exact sciences and technology
Finite impulse response filter
Impulse response
Information, signal and communications theory
Laboratories
Mathematical analysis
Military computing
MIMO
Polynomials
Signal and communications theory
Signal processing
Signal processing algorithms
Signal, noise
subspace method
Subspace methods
Telecommunications and information theory
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Beschreibung
Zusammenfassung:This correspondence addresses the problem of blindly identifying multiple input multiple output (MIMO) finite impulse response (FIR) channels without the conventional assumption of identical column degrees. A subspace-based algorithm is developed that identifies the channel's columns sequentially from the lowest degree columns to the highest degree ones. Compared with the previous generalized subspace method by Gorokhov and Loubaton (1997), the new method is simpler and more accurate.
ISSN:1053-587X
1941-0476
DOI:10.1109/TSP.2005.855076