Sparse channel estimation for MIMO-OFDM amplify-and-forward two-way relay networks

Guan Gui, Abolfazl Mehbodniya, Fumiyuki Adachi

研究成果: Conference contribution

4 被引用数 (Scopus)

抄録

Accurate channel impulse response (CIR) is required for coherent detection and it also helps to improve the quality of service in next-generation wireless communication systems. Linear channel estimation methods, e.g., least square (LS), have been proposed to estimate the CIR. However, these methods never take advantage of the channel sparsity and they also cause performance loss. In this paper, we propose a sparse channel estimation method for multi-input multi-output orthogonal frequency-division multiplexing (MIMO-OFDM) amplify and forward two-way relay networks (AF-TWRN), to exploit the sparse structure information in the CIR for each 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 the proposed method over the LS-based channel estimation.

本文言語English
ホスト出版物のタイトル2013 IEEE 78th Vehicular Technology Conference, VTC Fall 2013
DOI
出版ステータスPublished - 2013
イベント2013 IEEE 78th Vehicular Technology Conference, VTC Fall 2013 - Las Vegas, NV, United States
継続期間: 2013 9 22013 9 5

出版物シリーズ

名前IEEE Vehicular Technology Conference
ISSN(印刷版)1550-2252

Other

Other2013 IEEE 78th Vehicular Technology Conference, VTC Fall 2013
国/地域United States
CityLas Vegas, NV
Period13/9/213/9/5

ASJC Scopus subject areas

  • コンピュータ サイエンスの応用
  • 電子工学および電気工学
  • 応用数学

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