中国邮电高校学报(英文) ›› 2010, Vol. 17 ›› Issue (5): 44-49.doi: 10.1016/S1005-8885(09)60506-9

• Wireless • 上一篇    下一篇

Channel estimation based on distributed compressed sensing in amplify-and-forward relay networks

王东昊1,贺志强1,牛凯1,田宝玉2   

  1. 1. 北京邮电大学
    2.
  • 收稿日期:2010-01-06 修回日期:2010-05-09 出版日期:2010-10-30 发布日期:2010-10-31
  • 通讯作者: 王东昊 E-mail:wdh8467@gmail.com
  • 基金资助:

    973 program(2007CB310604);the National Natural Science Foundation of China (60702048);863 Program under Grant2009AA01Z233;其他

Channel estimation based on distributed compressed sensing in amplify-and-forward relay networks

  1. School of Information and Telecommunication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • Received:2010-01-06 Revised:2010-05-09 Online:2010-10-30 Published:2010-10-31

摘要:

In orthogonal frequency-division multiplexing (OFDM) amplify-and-forward (AF) relay networks, in order to exploit diversity gains over frequency-selective fading channels, the receiver needs to acquire the knowledge of channel state information (CSI). In this article, based on the recent methodology of distributed compressed sensing (DCS), a novel channel estimation scheme is proposed. The joint sparsity model 2 (JSM-2) in DCS theory and simultaneous orthogonal matching pursuit (SOMP) are both introduced to improve the estimation performance and increase the spectral efficiency. Simulation results show that compared with current compressed sensing (CS) methods, the estimation error of our scheme is reduced dramatically in high SNR region while the pilot number is still kept small.

关键词:

channel estimation, DCS, relay networks, SOMP

Abstract:

In orthogonal frequency-division multiplexing (OFDM) amplify-and-forward (AF) relay networks, in order to exploit diversity gains over frequency-selective fading channels, the receiver needs to acquire the knowledge of channel state information (CSI). In this article, based on the recent methodology of distributed compressed sensing (DCS), a novel channel estimation scheme is proposed. The joint sparsity model 2 (JSM-2) in DCS theory and simultaneous orthogonal matching pursuit (SOMP) are both introduced to improve the estimation performance and increase the spectral efficiency. Simulation results show that compared with current compressed sensing (CS) methods, the estimation error of our scheme is reduced dramatically in high SNR region while the pilot number is still kept small.

Key words:

channel estimation, DCS, relay networks, SOMP