| 講演抄録／キーワード |
| 講演名 |
2014-01-30 14:35
Low Complexity Sparse Channel Estimation based on Compressive Sensing for OFDM System
○Syouhaku Gyuu・Minoru Okada（NAIST）・Ziji Ma（Hunan University）・Takeshi Higashino（NAIST） |
| 抄録 |
（和） |
(まだ登録されていません) |
| （英） |
Orthogonal Frequency Division Multiplexing (OFDM) is a multi-carrier modulation scheme which has been widely used in wideband digital communication systems. Recently, a novel technique called Compressive Sensing (CS) has been proposed to estimate the Channel State Information (CSI) for OFDM system, which provides an improvement of channel estimation performance even in the double-selective fading channel. However, the high computational complexity of CS restricts its implementation of practical applications. In this paper, a new method using 2-Step CS-based (2-SCS) channel estimation is proposed, which can effectively reduce the computational complexity. The Numerical results demonstrate that the proposed method gives accurate channel estimation performance for OFDM system. |
| キーワード |
（和） |
/ / / / / / / |
| （英） |
OFDM / Channel Estimation / Compressive Sensing / Orthogonal Matching Pursuit / Dantzig Selector / / / |
| 文献情報 |
映情学技報, vol. 38, no. 5, BCT2014-31, pp. 121-124, 2014年1月. |
| 資料番号 |
BCT2014-31 |
| 発行日 |
2014-01-22 (BCT) |
| ISSN |
Print edition: ISSN 1342-6893 |
| PDFダウンロード |
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