Title :
Blind identifiability conditions of FIR MIMO channels driven by colored signals
Author :
Hua, Yingbo ; An, Senjian
Author_Institution :
Dept. of Electr. & Electron. Eng., Melbourne Univ., Parkville, Vic., Australia
fDate :
Oct. 29 2000-Nov. 1 2000
Abstract :
It is shown that an FIR MIMO channel is (asymptotically) identifiable up to a scaling and permutation using the second-order statistics of the channel output if the channel matrix is minimum phase and column-wise coprime and the input signals are mutually uncorrelated and of distinct power spectra. This condition is weaker than a previously established condition that requires the channel matrix to be irreducible.
Keywords :
MIMO systems; identification; matrix algebra; spectral analysis; statistical analysis; telecommunication channels; transient response; FIR MIMO channels; blind channel identification; blind equalization; blind identifiability conditions; channel output; colored signals; column-wise coprime channel matrix; minimum phase channel matrix; mutually uncorrelated input signals; necessary conditions; permutation; power spectra; scaling; second-order statistics; Autocorrelation; Blind equalizers; Finite impulse response filter; MIMO; Microphone arrays; Polynomials; Signal processing; Speech enhancement; Statistics; Sufficient conditions;
Conference_Titel :
Signals, Systems and Computers, 2000. Conference Record of the Thirty-Fourth Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-7803-6514-3
DOI :
10.1109/ACSSC.2000.911255
