| Presentation | 2002/6/20 Blind Identification Using Channel Length Estimation : Subspace Approach Based on CGM Nari TANABE, Toshihiro FURUKAWA, Kohichi SAKANIWA, Shigeo TSUJII, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Subspace methods (SSM) are an effective approach for blind channel identification. However, these methods have two major disadvantages: i) They require a large amount of computation for the eigen-value decomposition (EVD) and the singular-value decomposition (SVD), and ii) they require the prior knowledge of accurate channel length. In this paper, we discuss new algorithm for blind channel identification using the conception of principal component analsys (PCA), which is based on the orthogonality between the subspaces spanned by the column vectors of the impulse response matrix (the impulse response subspace) and the noise-subspace, and using the property of conjugate gradient method (CGM). The new algorithms do not need to calculate both EVD and SVD, and to get the prior knowledge of accurate channel length. Furthermore, the new blind algorithm has computations O(m^2) where m is the data vector length. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Subspace methods / principal component analysis / eigen-value and eigen-vector / computational com-plexity |
| Paper # | VLD2002-22 |
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| Conference Information | |
| Committee | VLD |
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| Conference Date | 2002/6/20(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | VLSI Design Technologies (VLD) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Blind Identification Using Channel Length Estimation : Subspace Approach Based on CGM |
| Sub Title (in English) | |
| Keyword(1) | Subspace methods |
| Keyword(2) | principal component analysis |
| Keyword(3) | eigen-value and eigen-vector |
| Keyword(4) | computational com-plexity |
| 1st Author's Name | Nari TANABE |
| 1st Author's Affiliation | Dept. of Communications and Integrated Systems, Tokyo Institute of Technology() |
| 2nd Author's Name | Toshihiro FURUKAWA |
| 2nd Author's Affiliation | Dept. of Management Science, Tokyo University of Science |
| 3rd Author's Name | Kohichi SAKANIWA |
| 3rd Author's Affiliation | Dept. of Communications and Integrated Systems, Tokyo Institute of Technology |
| 4th Author's Name | Shigeo TSUJII |
| 4th Author's Affiliation | Dept. of Information and System Engineering, Chuo University |
| Date | 2002/6/20 |
| Paper # | VLD2002-22 |
| Volume (vol) | vol.102 |
| Number (no) | 164 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |