应用科学学报 ›› 2014, Vol. 32 ›› Issue (5): 523-529.doi: 10.3969/j.issn.0255-8297.2014.05.014

• 信号与信息处理 • 上一篇    下一篇

用于MIMO-OFDM 的变换域盲信道估计算法

戴锡平, 彭华, 郑永军, 王琦峰   

  1. 解放军信息工程大学信息系统工程学院,郑州450002
  • 收稿日期:2013-11-28 修回日期:2014-05-13 出版日期:2014-09-23 发布日期:2014-05-13
  • 作者简介:彭华,教授,博导,研究方向:通信信号处理,E-mail: liujiao202@hotmail.com
  • 基金资助:

    国家自然科学基金(No.61072046)资助

Transform Domain-Based Blind Channel Estimation for MIMO-OFDM

DAI Xi-ping, PENG Hua, ZHENG Yong-jun, WANG Qi-feng   

  1. Institute of Information Systems Engineering, PLA Information Engineering University, Zhengzhou 450002, China
  • Received:2013-11-28 Revised:2014-05-13 Online:2014-09-23 Published:2014-05-13

摘要: 为了克服确定性子空间算法对信道阶数过估计比较敏感的缺点,将变换域方法与子空间方法相结合,提
出了一种具有阶数误差鲁棒的子空间算法. 该算法利用频域子空间算法对信道进行估计,根据变换域算法进行降
噪处理,以改善估计精度. 为了进一步评估信道估计器的性能,推导了算法的最小约束克拉美罗界. 理论分析与仿
真结果表明,该算法对信道阶数的过估计具有很强的鲁棒性.

关键词: 多输入多输出, 正交频分复用, 盲信道估计, 子空间方法, 克拉美罗界

Abstract: The deterministic subspace algorithm is sensitive to channel order over-estimation. To deal with
the problem, a robust subspace algorithm combining a transform domain method and a subspace method is
presented, which can tolerate some order error of the channel. The proposed algorithm uses a frequency domain
subspace algorithm to estimate the channel state. A transform domain algorithm is used for noise reduction and
estimation accuracy improvement. To evaluate the performance of channel estimation, a minimum constraint
Cramer-Rao bound is derived. Theoretical analysis and simulation results show that the method have good
robustness against order over-estimation of the channel.  

Key words: multiple-input multiple-output (MIMO), orthogonal frequency division multiplexing (OFDM), blind channel estimation, subspace method, Cramer-Rao bound

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