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

• Published in: IEEE transactions on signal processing Vol. 53; no. 10; pp. 3906 - 3910
• Main Authors: Senjian An, Manton, J.H., Yingbo Hua
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.10.2005; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: 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; MIMO system; convolutive MIMO channels; Sequential method; Subspace method; Finite impulse response filter; Blind identification; System identification; Algorithm
• ISSN: 1053-587X; 1941-0476
• DOI: 10.1109/TSP.2005.855076

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.