2011 Fiscal Year Final Research Report
Development of a Block-Based Adaptive Blind Deconvolution Algorithm Using the Matrix Pseudo-Inversion Lemma and Its Application to MIMO Systems
| Project/Area Number |
21500088
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Computer system/Network
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| Research Institution | Yonago National College of Technology |
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Principal Investigator |
KOHNO Kiyotaka 米子工業高等専門学校, 電子制御工学科, 教授 (90225376)
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| Project Period (FY) |
2009 – 2011
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| Keywords | モバイルネットワーク技術 / ブラインド信号分離 |
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| Research Abstract |
The matrix inversion lemma gives an explicit formula of the inverse of a positive-definite matrix A added to a block of dyads(represented as BB^H). It is well-known in the literature that this formula is very useful to develop a block-based recursive least-squares algorithm for the block-based recursive identification of linear systems or the design of adaptive filters. We extend this result to the case when the matrix A is singular, and present a matrix pseudo-inversion lemma along with some illustrative examples. Based on this result, we propose a block-based adaptive multichannel super-exponential algorithm. We present simulation results for the performance of the block-based algorithm in order to show the usefulness of the matrix pseudo-inversion lemma.
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Research Products
(7 results)
