高级搜索

留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

MIMO-OFDM系统中一种基于自适应滤波的信道估计方法

梁永明 罗汉文 黄建国

梁永明, 罗汉文, 黄建国. MIMO-OFDM系统中一种基于自适应滤波的信道估计方法[J]. 电子与信息学报, 2007, 29(2): 310-313. doi: 10.3724/SP.J.1146.2005.00740
引用本文: 梁永明, 罗汉文, 黄建国. MIMO-OFDM系统中一种基于自适应滤波的信道估计方法[J]. 电子与信息学报, 2007, 29(2): 310-313. doi: 10.3724/SP.J.1146.2005.00740
Liang Yong-ming, Luo Han-wen, Huang Jian-guo. A Method of Channel Estimation Based on Adaptive Filtering in MIMO-OFDM Systems[J]. Journal of Electronics & Information Technology, 2007, 29(2): 310-313. doi: 10.3724/SP.J.1146.2005.00740
Citation: Liang Yong-ming, Luo Han-wen, Huang Jian-guo. A Method of Channel Estimation Based on Adaptive Filtering in MIMO-OFDM Systems[J]. Journal of Electronics & Information Technology, 2007, 29(2): 310-313. doi: 10.3724/SP.J.1146.2005.00740

MIMO-OFDM系统中一种基于自适应滤波的信道估计方法

doi: 10.3724/SP.J.1146.2005.00740
基金项目: 

国家自然科学基金(60572157)和国家863计划(2001AA123014)资助课题

A Method of Channel Estimation Based on Adaptive Filtering in MIMO-OFDM Systems

  • 摘要: 该文提出了一种适用于MIMO-OFDM系统的基于自适应滤波器的信道估计方法,此方法在不需要任何信道统计信息的前提下,通过自适应滤波的方法对时变信道状态参数进行即时跟踪与估计。仿真结果表明该文提出的基于自适应滤波的信道估计方法,相比于不考虑噪声的基于LS算法的信道估计方法,MSE和BER性能均有很大的提高。其中基于LMS滤波器的信道估计方法具有计算复杂度小的特点;而基于RLS的信道估计方法具有收敛速度快,MSE和BER性能均优于基于LMS方法的特点。
  • [1] Foschini G J and Gans M J. on limits of wireless communications in a fading environment when using multiple antennas [J]. Wireless Pers. Communication, 1998, 6: 331-335. [2] Stuber G L, Barry J R, and McLaughlin S W, et al.. Broadband MIMO-OFDM wireless communications [J]. IEEE Proc. on Digital Object Identifier, 2004, 92(2): 271-294. [3] Yatawatta S and Petropulu A P. Blind channel estimation in MIMO OFDM systems [C]. 2003 IEEE Workshop on Statistical Signal Processing, Santorini, Greece, 28 Sept-1 Oct.., 2003: 363-366. [4] Ye Li, Seshadri N, and Ariyavisitakul S. Channel estimation for OFDM systems with transmitter diversity in mobile wireless channels [J].IEEE J. on Selected Areas in Communications.1999, 17(3):461-471 [5] Ye Li. Simplified channel estimation for OFDM systems with multiple transmit antennas [J].IEEE Trans. on Wireless Communications.2002, 1(1):67-75 [6] Schafhuber D, Rupp M, and Matz G, et al.. Adaptive identification and tracking of doubly selective fading channels for wireless MIMO-OFDM systems [C]. 4th IEEE Workshop on Signal Processing Advances in Wireless Communications, Rome, Italy, 15-18 June, 2003: 417- 421. [7] Haykin S. Adaptive Filter Theory [M]. Upper Saddle River, NJ, USA: Prentice-Hall, 1986, chapter 5-chapter 9. [8] Barhumi I and Leus G. Optimal training sequences for channel estimation in MIMO OFDM systems in mobile wireless channels [C]. 2002 International Zurich Seminar on Broadband Communications, Access, Transmission, Networking. Zurich, 19-21 Feb., 2002: 44: 1-6.
  • 加载中
计量
  • 文章访问数:  3206
  • HTML全文浏览量:  101
  • PDF下载量:  1090
  • 被引次数: 0
出版历程
  • 收稿日期:  2005-06-24
  • 修回日期:  2005-12-05
  • 刊出日期:  2007-02-19

目录

    /

    返回文章
    返回