Title :
An adaptive super-exponential deflation algorithm for blind deconvolution of MIMO systems using the matrix pseudo-inversion lemma
Author :
Kohno, Kiyotaka ; Inouye, Yujiro ; Kawamoto, Mitsuru
Author_Institution :
Dept. of Electron. & Control Syst. Eng., Shimane Univ., Matsue, Japan
Abstract :
Multichannel blind deconvolution of finite-impulse response (FIR) or infinite-impulse response (IIR) channels is investigated using multichannel super-exponential deflation methods. We propose a new adaptive approach to multichannel super-exponential deflation methods using the matrix pseudo-inversion lemma (which is extended from the matrix inversion lemma in the full-rank case to the rank-degenerate case) and the higher-order cross correlations of the channel and the equalizer outputs. In order to see the effectiveness of the proposed approach, many computer simulations were carried out for time-invariant MIMO channels along with time-variant MIMO channels. The simulations show that the proposed approach is effective even for time-variant channels.
Keywords :
MIMO systems; deconvolution; equalisers; matrix inversion; time-varying channels; FIR channels; IIR channels; MIMO systems; adaptive super-exponential deflation algorithm; equalizer; finite-impulse response channels; full-rank case; higher-order cross correlations; infinite-impulse response channels; matrix inversion lemma; matrix pseudo-inversion lemma; multichannel blind deconvolution; multichannel super-exponential deflation methods; rank-degenerate case; time-invariant channels; time-variant channels; Computer simulation; Control systems; Covariance matrix; Deconvolution; Digital communication; Equalizers; Finite impulse response filter; MIMO; Signal processing; Systems engineering and theory;
Conference_Titel :
Circuits and Systems, 2005. ISCAS 2005. IEEE International Symposium on
Print_ISBN :
0-7803-8834-8
DOI :
10.1109/ISCAS.2005.1465974