Title :
A sequential subspace method for blind identification of general FIR MIMO channels
Author :
An, Senjian ; Manton, Jonathan H. ; Hua, Yingbo
Author_Institution :
Dept. of Comput., Curtin Univ. of Technol., Perth, WA, Australia
Abstract :
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.
Keywords :
MIMO systems; blind equalisers; channel estimation; convolution; polynomial matrices; sequential estimation; FIR channel; blind identification; convolutive MIMO channel; finite impulse response; multiple input multiple output channels; sequential subspace method; Australia Council; Colored noise; Decorrelation; Finite impulse response filter; Laboratories; MIMO; Military computing; Polynomials; Signal processing; Signal processing algorithms; Blind identification; convolutive MIMO channels; subspace method;
Journal_Title :
Signal Processing, IEEE Transactions on
DOI :
10.1109/TSP.2005.855076
