Presentation 2005-11-18
Subspace Based Blind Identification Algorithm using CGM
Nari TANABE, Toshihiro FURUKAWA, Shigeo TSUJII,
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Abstract(in English) We propose a subspace based blind identification algorithm using CGM (conjugate gradient method). The algorithm estimates (1) the channel order, (2) the noise variance, (3) the noise subspace, and them identifies (4) channel impulse response from second order statistics of received signal without using the eigenvalue decomposition. The special features of the proposed algorithm are (1) accurate channel order estimation and (2) the reduction of computational complexity using CGM. Numerical examples show the effectiveness of the proposed algorithm.
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Keyword(in English) blind identification / principal component analysis / subspace method / eigenvalue decomposition / conjugate gradient method / channel order / noise variance / computational complexity
Paper # MoMuC2005-69
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Committee MoMuC
Conference Date 2005/11/10(1days)
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Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Subspace Based Blind Identification Algorithm using CGM
Sub Title (in English)
Keyword(1) blind identification
Keyword(2) principal component analysis
Keyword(3) subspace method
Keyword(4) eigenvalue decomposition
Keyword(5) conjugate gradient method
Keyword(6) channel order
Keyword(7) noise variance
Keyword(8) computational complexity
1st Author's Name Nari TANABE
1st Author's Affiliation Toyama National College of Technology()
2nd Author's Name Toshihiro FURUKAWA
2nd Author's Affiliation Science University of Tokyo
3rd Author's Name Shigeo TSUJII
3rd Author's Affiliation Institute of information Security
Date 2005-11-18
Paper # MoMuC2005-69
Volume (vol) vol.105
Number (no) 409
Page pp.pp.-
#Pages 4
Date of Issue