北京邮电大学学报

  • EI核心期刊

北京邮电大学学报 ›› 2007, Vol. 30 ›› Issue (3): 88-92.doi: 10.13190/jbupt.200703.88.tangt

• 研究报告 • 上一篇    下一篇

一种用于实际OFDM系统的RLS自适应信道估计算法

唐恬 姜军 张平   

  1. 北京邮电大学 电信工程学院 北京邮电大学 电信工程学院 北京邮电大学 电信工程学院
  • 收稿日期:2006-08-23 修回日期:2006-11-28 出版日期:2007-06-30 发布日期:2007-06-30
  • 通讯作者: 唐恬

An RLS Adaptive Channel Estimation Algorithm for Practical OFDM Systems

TANG Tian, JIANG Jun, ZHANG Ping   

  1. Telecommunication Engineering School, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • Received:2006-08-23 Revised:2006-11-28 Online:2007-06-30 Published:2007-06-30
  • Contact: TANG Tian

摘要:

对OFDM信道估计中的信道冲激响应(CIR)泄漏问题进行了分析,提出了一种新的时域一维递归最小二乘(RLS)自适应信道估计算法。RLS滤波器的输入和参考信号被一个独立于信道统计特性的矩阵加权,降低了CIR泄漏的影响。该算法保持了一维RLS算法低复杂度的特点,运算量远小于二维RLS算法。仿真结果证明,在非整数采样多径衰落信道下该算法极大提高了一维RLS信道估计的MSE性能,使其逼近于二维RLS算法。

关键词: 正交频分复用, 自适应信道估计, 递归最小二乘

Abstract:

The channel impulse response (CIR) leakage in OFDM channel estimation is analyzed. A new one- dimensional (1D) recursive least square (RLS) adaptive channel estimation algorithm is proposed in time domain. To reduce the CIR leakage, the input signals and reference signals of the RLS filter are weighted by a matrix that is independent to the channel statistics. Keeping the simplicity of the 1D-RLS algorithm, the proposed algorithm has much lower computational cost than the 2D-RLS counterpart. The simulation results show that the proposed algorithm improves the MSE performance of the 1D-RLS channel estimation significantly in the non-sample-spaced multipath fading channel. The MSE performance can even approach the result of the 2D-RLS algorithm.

Key words: OFDM, adaptive channel estimation, RLS

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