Bayesian sparse channel estimation and data detection for OFDM communication systems

Guan Gui, Abolfazl Mehbodniya, Fumiyuki Adachi

研究成果: Conference contribution

9 被引用数 (Scopus)

抄録

Channel state information (CSI) is required at receiver in orthogonal frequency division modulation (OFDM) communication systems due to the fact that frequency-selective fading channel leads to inter-symbol interference (ISI) over data transmission. Broadband channel model is often described by very few dominant channel taps and they can be probed by sparse channel estimation (SCE) methods, e.g., subspace pursuit (SP) algorithm, can take the advantage of sparse structure effectively in broadband channels as for prior information. However, these developed methods are vulnerable to both noise, interference and column coherence of training signal matrix. In other words, the primary objective of these conventional methods is to catch the dominant channel taps without a report of posterior channel uncertainty. To improve the estimation performance, we proposed a Bayesian sparse channel estimation (BSCE) method which not only exploits the channel sparsity but also mitigates the unexpected channel uncertainty. The proposed method can reveal potential ambiguity among multiple channel estimators that are ambiguous due to observation noise or correlation interference among columns in the training matrix. Computer simulations show that our technique can improve the estimation performance with comparable computational complexity when comparing with conventional SCE methods.

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月 22013 9月 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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