A Low Complexity Frequency-Domain Linear Equalization Algorithm Based on Pre-processing in OFDM System

HE Chen; XU Xing-hui; CHEN Yong; JIANG Ling-ge

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A Low Complexity Frequency-Domain Linear Equalization Algorithm Based on Pre-processing in OFDM System

更新时间：2025-07-16

- A Low Complexity Frequency-Domain Linear Equalization Algorithm Based on Pre-processing in OFDM System
- Acta Electronica Sinica Vol. 39, Issue 7, Pages: 1481-1485(2011)
- 作者机构：
  
  上海交通大学电子工程系,上海,200240
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN911.4
- Published：2011
- 稿件说明：
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HE Chen, XU Xing-hui, CHEN Yong, et al. A Low Complexity Frequency-Domain Linear Equalization Algorithm Based on Pre-processing in OFDM System[J]. Acta Electronica Sinica, 2011, 39(7): 1481-1485.
DOI：

HE Chen, XU Xing-hui, CHEN Yong, et al. A Low Complexity Frequency-Domain Linear Equalization Algorithm Based on Pre-processing in OFDM System[J]. Acta Electronica Sinica, 2011, 39(7): 1481-1485. DOI：

摘要

针对高频段OFDM无线传输系统中严重的载波间干扰(Inter-Carrier Interference

ICI)

提出了一种基于预处理的低复杂度频域线性均衡算法.在接收端先对各时刻的信道响应提取时变因子

进行一维时域滤波预处理;再用带状结构去近似提取时变因子后信道的频域矩阵

进行频域线性均衡.仿真结果表明

相对于MMSE算法

该算法以1~2dB的性能代价将系统复杂度降低到10%以下;相对于对信道信息进行部分丢弃的低复杂度算法

高信噪比时该算法可以不增加复杂度而获得5dB以上的性能增益.

Abstract

Considering the serious Inter-Carrier Interference (ICI) in Orthogonal Frequency Division Multiplexing (OFDM) wireless systems with high frequency

a low complexity frequency-domain linear equalization algorithm based on pre-processing is proposed.The new algorithm first extracts a time-variant factor from every channel response.Consequently

one-dimensional filtering pre-processing in time-domain can be achieved at the receiver.As for the time-variant channel after time-variant factor extraction

Banded structure is used to approximate its frequency response matrix

which achieves low complexity frequency-domain linear equalization at the receiver.The analysis and simulation results show that

the proposed algorithm can reduce the complexity to 10% or less at the cost of 1-2dB performance

relative to MMSE algorithm;the proposed algorithm can obtain at least 5dB relative performance gain with the same complexity

compared to the existing low complexity algorithm which discards part channel information.

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