講演名 | 2013-02-01 Sparse Channel Estimation for MIMO-OFDM Amplify-and-Forward Two-Way Relay Networks , |
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抄録(英) | Accurate channel impulse response (CIR) is required for coherent detection and it can also help improve communication quality of service in next-generation wireless communication systems. One of the advanced systems is multi-input multi-output orthogonal frequency-division multiplexing (MIMO-OFDM) amplify and forward two-way relay networks (AF-TWRN). Linear channel estimation methods, e.g., least square (LS), have been proposed to estimate the CIR. However, these methods never take advantage of channel sparsity and then cause performance loss. In this paper, we propose a sparse channel estimation method to exploit the sparse structure information in the CIR at each end user. Sparse channel estimation problem is formulated as compressed sensing (CS) using sparse decomposition theory and the estimation process is implemented by LASSO algorithm. Computer simulation results are given to confirm the superiority of proposed method over the LS-based channel estimation method. |
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キーワード(英) | Sparse Channel Estimation / MIMO-OFDM / AF-TWRN / Compressed Sensing (CS) |
資料番号 | SIP2012-116,RCS2012-273 |
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研究会情報 | |
研究会 | SIP |
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開催期間 | 2013/1/24(から1日開催) |
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申込み研究会 | Signal Processing (SIP) |
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本文の言語 | ENG |
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タイトル(英) | Sparse Channel Estimation for MIMO-OFDM Amplify-and-Forward Two-Way Relay Networks |
サブタイトル(和) | |
キーワード(1)(和/英) | / Sparse Channel Estimation |
第 1 著者 氏名(和/英) | / Guan GUI |
第 1 著者 所属(和/英) | Department of Communications Engineering, Graduate School of Engineering, Tohoku University |
発表年月日 | 2013-02-01 |
資料番号 | SIP2012-116,RCS2012-273 |
巻番号(vol) | vol.112 |
号番号(no) | 423 |
ページ範囲 | pp.- |
ページ数 | 6 |
発行日 |