[1]彭钰,侯晓赟.基于二维压缩感知的双选信道估计[J].计算机技术与发展,2013,(10):220-223.
　PENG Yu,HOU Xiao-yun.Doubly Selective Channel Estimation Based on Two Dimension Compressed Sensing[J].,2013,(10):220-223.
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基于二维压缩感知的双选信道估计()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2013年10期
页码:
220-223
栏目:
应用开发研究
出版日期:
1900-01-01

文章信息/Info

Title:
Doubly Selective Channel Estimation Based on Two Dimension Compressed Sensing
文章编号:
1673-629X（2013）10-0220-04
作者:
彭钰; 侯晓赟
南京邮电大学 信号处理与传输研究院
Author(s):
PENG Yu; HOU Xiao-yun
关键词:
信道估计; 压缩感知; 双选信道; 二维正则正交匹配追踪
Keywords:
channel estimation; compressive sensing; doubly selective channel; 2 dimension regularized orthogonal matching pursuit
文献标志码:
A
摘要:
高速移动下的无线宽带通信要经历时间和频率的双选择性衰落,为了使发送的数据经过衰落的信道后在接收端被正确地接收,必须要对信道状态信息进行估计。文中根据双选信道在时延-多普勒域的二维稀疏性,同时利用时域和多普勒域内的相关性,在OFDM系统中提出了基于二维压缩感知(2 Dimension Compressive Sensing,2D-CS)的双选信道估计。同时为了克服信道的双选特性对信道估计造成的不稳定性,设计了二维正则正交匹配追踪(2 Dimension Regularized Or-thogonal Matching Pursuit,2D-ROMP)算法进行信道估计。理论分析和仿真结果表明,在同等条件下,采用二维的信道估计方法比一维的信道估计方法性能提高很多,同时与现有的基于传统的时频二维的算法相比,基于2D-ROMP的信道估计复杂度更低,且系统性能更高,减少估计时延
Abstract:
High data rates and high mobility introduce time and frequency selectivity in wideband wireless communication. Need to esti-mate the channel state information so that the data through fading channel can be received correctly. Exploiting the sparsity and correlation of doubly selective wireless channel in both delay domain and Doppler domain,study the doubly selective channel estimation based on 2 Dimension Compressive Sensing (2D-CS). In order to overcome the instability of the channel estimation caused by the multipath delay spread and Doppler shift,the channel estimation based on 2 Dimension ROMP (2D-ROMP) algorithm is designed in this paper. Theoret-ical analysis and simulation shows that the 2D-ROMP has better performance but with fewer pilots than conventional 2 dimension delay domain and Doppler domain estimation,furthermore,2 dimension channel estimation has better estimation performance than 1 dimension channel estimation

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更新日期/Last Update: 1900-01-01