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计算机工程 ›› 2012, Vol. 38 ›› Issue (14): 85-88. doi: 10.3969/j.issn.1000-3428.2012.14.025

• 网络与通信 • 上一篇    下一篇

适用于含公共零点SIMO信道的盲均衡算法

薛 江,彭 华,马金全,李 浩   

  1. (解放军信息工程大学信息工程学院,郑州 450002)
  • 收稿日期:2011-08-26 出版日期:2012-07-20 发布日期:2012-07-20
  • 作者简介:薛 江(1986-),男,硕士研究生,主研方向:信号与信息处理;彭 华,教授、博士生导师;马金全,讲师;李 浩,硕士研究生
  • 基金资助:
    国家自然科学基金资助项目(61072046)

Blind Equalization Algorithm for SIMO Channel with Common Zeros

XUE Jiang, PENG Hua, MA Jin-quan, LI Hao   

  1. (Institute of Information Engineering, PLA Information Engineering University, Zhengzhou 450002, China)
  • Received:2011-08-26 Online:2012-07-20 Published:2012-07-20

摘要: 在含公共零点单输入多输出(SIMO)模型的基础上,提出一种针对含公共零点的SIMO信道的直接无限冲击响应(IIR)盲均衡算法。该算法利用IIR预测均衡算法对输入信号进行初始均衡和对均衡结果进行相偏纠正,通过最小均方误差准则提高算法在高斯白噪声环境中的适应性,克服IIR预测算法中的相位偏转问题与IIR预测算法对信噪比敏感的缺点。仿真实验结果表明,该算法对IIR信道及含公共零点信道都具有较好的均衡效果。

关键词: 盲均衡, 二阶统计量, 单输入多输出, 无限冲击响应, 公共零点, 最小均方误差

Abstract: Based on a Single Input Multiple Output(SIMO) model with common zeros, a direct Infinite Impulse Response(IIR) blind equalization algorithm of SIMO channel with common zeros is proposed. The received signals are equalized by the IIR prediction equalizer, and the outputs are applied to an adaptive phase rotation algorithm. An optimal MMSE equalizer is introduced to gain better performance when receiver gauss white noise is present. The new algorithm can correct the phase error and reduce the sensitivity to the gauss white noise. Simulation experimental results show that IIR channel and channel with common zeros both can be equalized well by the algorithm.

Key words: blind equalization, second-order statistics, Single Input Multiple Output(SIMO), Infinite Impulse Response(IIR), common zeros, Minimum Mean Square Error(MMSE)

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