DocumentCode :
1405102
Title :
Blind identifiability of FIR-MIMO systems with colored input using second order statistics
Author :
Hua, Yingbo ; Tugnait, Jitendra K.
Author_Institution :
Dept. of Electr. & Electron. Eng., Melbourne Univ., Parkville, Vic., Australia
Volume :
7
Issue :
12
fYear :
2000
Firstpage :
348
Lastpage :
350
Abstract :
We show that a finite impulse response and multi-input-multi-output (FIR-MIMO) system with colored input is blindly identifiable up to a permutation and scaling using the second order statistics (SOS) of the system´s output if (a) the system function is irreducible, and (b) the input signals are uncorrelated from each other and have distinct power spectra. Condition (a) is weaker than several conditions reported previously. It suggests a further potential of developing more robust blind algorithms.
Keywords :
MIMO systems; identification; spectral analysis; statistical analysis; transient response; FIR-MIMO systems; blind identifiability; colored input; finite impulse response; irreducible system function; multi-input-multi-output; permutation; power spectra; robust blind algorithms; scaling; second order statistics; uncorrelated input signals; Blind source separation; Convolution; Finite impulse response filter; MIMO; Polynomials; Robustness; Signal processing; Statistics; System identification;
fLanguage :
English
Journal_Title :
Signal Processing Letters, IEEE
Publisher :
ieee
ISSN :
1070-9908
Type :
jour
DOI :
10.1109/97.883365
Filename :
883365
Link To Document :
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