Title :
Robust Super-Exponential Methods for Blind Equalization of MIMO-IIR Systems
Author :
Kohno, Kiyotaka ; Inouye, Y. ; Kawamoto, Masashi
Author_Institution :
Dept. of Electron. & Control Syst. Eng., Shimane Univ., Matsue
Abstract :
The so called "super-exponential" methods (SEMs) are attractive methods for solving multichannel blind deconvolution problem. The conventional SEMs, however, have such a drawback that they are very sensitive to Gaussian noise. To overcome this drawback, the robust super-exponential method (RSEM) were proposed for single-input single-output infinite impulse response (SISO-IIR) channels and for multi-input multi-output (MIMO) static channels (instantaneous mixtures). While the conventional SEMs use the second- and higher-order cumulants of observations, the RSEM uses only the higher-order cumulants of observations. Since higher-order cumulants are insensitive to Gaussian noise, the RSEM is robust to Gaussian noise. We proposed an RSEM extended to the case of MIMO-IIR channels (convolutive mixtures). To show the validity of the proposed RSEM, some simulation results are presented
Keywords :
Gaussian noise; MIMO systems; blind equalisers; deconvolution; higher order statistics; matrix algebra; Gaussian noise; MIMO-IIR systems; blind equalization; higher-order cumulants; multi-input multi-output static channels; multichannel blind deconvolution problem; robust super-exponential methods; single-input single-output infinite impulse response channels; Blind equalizers; Centralized control; Control systems; Deconvolution; Gaussian noise; Independent component analysis; Industrial electronics; MIMO; Noise robustness; Signal processing;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on
Conference_Location :
Toulouse
Print_ISBN :
1-4244-0469-X
DOI :
10.1109/ICASSP.2006.1661362