DocumentCode
3379670
Title
Adaptive super-exponential algorithms for blind deconvolution of MIMO systems
Author
Kohno, Kiyotaka ; Inouye, Yujiro ; Kawamoto, Mitsuru ; Okamoto, Tetsuya
Author_Institution
Dept. of Electron. & Control Syst. Eng., Shimane Univ., Japan
Volume
5
fYear
2004
fDate
23-26 May 2004
Abstract
Multichannel blind deconvolution of finite-impulse response (FIR) or infinite-impulse response (IIR) systems is investigated using the multichannel super-exponential method. First, some properties are shown for the rank of the correlation matrices relevant to the multichannel super-exponential method. Then, the matrix inversion lemma is extended to the degenerate rank case. Based on these results, two types of adaptive multichannel super-exponential algorithms are presented, that is, the one in covariance form and the other in QR-factorization form.
Keywords
FIR filters; IIR filters; deconvolution; exponential distribution; matrix inversion; MIMO systems; QR-factorization form; adaptive super-exponential algorithm; correlation matrices; covariance form; degenerate rank case; finite-impulse response; infinite-impulse response; matrix inversion lemma; multichannel blind deconvolution; multichannel super-exponential method; Control systems; Covariance matrix; Deconvolution; Digital communication; Equalizers; Finite impulse response filter; MIMO; Signal processing; Systems engineering and theory; Transfer functions;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 2004. ISCAS '04. Proceedings of the 2004 International Symposium on
Print_ISBN
0-7803-8251-X
Type
conf
DOI
10.1109/ISCAS.2004.1329899
Filename
1329899
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