期刊文献+

基于整体最小二乘的联合信道估计及OFDM信号检测算法 被引量:30

Joint Channel Estimation and OFDM Signals Detection Based on Total Least Square
下载PDF
导出
摘要 针对现有的联合信道估计及OFDM信号检测算法性能不高的问题,该文提出一种基于整体最小二乘的联合信道估计及OFDM信号检测算法。该算法首先通过导频估计初始的信道信息,在此基础上不断地采用整体最小二乘进行OFDM信号检测及信道估计,有效缓解迭代模型误差的影响,加快了算法迭代的收敛速度,提高了信道估计的精度,从而降低了OFDM系统的误码率。该文推导的信道估计克拉美罗界及仿真结果均表明所提出的算法在时变信道环境下优于现有的联合信道估计及OFDM信号检测算法。 In the light of the fact that the performance of the existing joint channel estimation and OFDM signals detection methods are poor, a novel joint channel estimation and OFDM signals detection algorithm using total least square is therefore proposed. Firstly, the initial channel information is obtained by performing the pilots. Then the total least square is employed in the OFDM signals detection and channel estimation, and as such the effect of iterative model error can be effectively alleviated. The proposed algorithm is able to accelerate the rate of convergence, improve the accuracy of the channel estimation, and sequentially reduce the bit error rate of the OFDM system. Both the derived Cramer Bound (CRB) of the channel estimation and simulation results show that this algorithm is better than the existing joint channel estimation and OFDM signals detection methods as well.
作者 黄敏 李兵兵
出处 《电子与信息学报》 EI CSCD 北大核心 2014年第6期1448-1453,共6页 Journal of Electronics & Information Technology
基金 国家自然科学基金(61271299) 高等学校学科创新引智计划项目(B08038)资助课题
关键词 无线通信 信道估计 OFDM信号检测 整体最小二乘 Wireless communication Channel estimation OFDM signals detection Total least square
  • 相关文献

参考文献15

  • 1Mostofi Y and Cox D. ICI mitigation for pilot-aided OFDMmobile sy stems [J]. IEEE Transactions on WirelessCommunications, 2005,4(2): 765—774.
  • 2Tang Z, Cannizzaro R C, Leus G, et al. Pilot-assistedtime-varying channel estimation for OFDM systems[J]. IEEETransactions on Signal Processing' 2007, 55(5): 2226—2238.
  • 3Kwak K, Lee S, Min H, Choi S, et al. New OFDM ChannelEstimation with Dual-ICI Cancellation in Highly MobileChannel[J]. IEEE Transactions on Wireless Communications,2010, 9(10): 3155-3165.
  • 4Hrycak T, Das S, Matz G, et al. Practical estimation ofrapidly varying channels for OFDM systems[J]. IEEETransactions on Communications, 2011, 59(11): 3040~3048.
  • 5Hrycak T, Das S, and Matz G. Inverse methods forreconstruction of channel taps in OFDM systems[J]. IEEETransactions on Signal Processing, 2012,60(5): 2666-2671.
  • 6Hijazi H and Ros L. Polynomial estimation of time-varyingmultipath gains with intercarrier interference mitigation inOFDM systems [J]. IEEE Transactions on VehicularTechnology, 2009, 58(1): 140-151.
  • 7Panayirci E, Senol H, and Poor H V. Joint channel estimation,equalization, and data detection for OFDM systems in thepresence of very high mobility [J]. IEEE Transactions onSignal Processing, 2010, 58(8): 4225-4238.
  • 8Aboutorab N, Hardjawana W, and Vucetic B. A new iterativedoppler-assisted channel estimation joint with parallel ICIcancellation for high-mobility MIMO-OFDM systems[J].IEEE Transactions on Vehicular Technology, 2012, 61(4):1577-1589.
  • 9Markovsky I and Huffel S V. Overview of total least-squaresmethods[J]. Signal Processing, 2007, 87(10): 2283-2302.
  • 10Bertrand A and Moonen M. Low-complexity distributed totalleast squares estimation in Ad hoc sensor networks[J]. IEEETransactions on Signal Processing, 2012, 60(8): 4321-4332.

同被引文献195

引证文献30

二级引证文献51

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部