多输入多输出系统下低复杂度的自适应预编码方法

杨鹏; 葛建华

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多输入多输出系统下低复杂度的自适应预编码方法

专题研究 | 更新时间：2025-12-08

- 多输入多输出系统下低复杂度的自适应预编码方法
- Adaptive Precoding Method with Low-Complexity for Multiple-Input Multiple-Output Systems
- 西安交通大学学报 2007年41卷第4期页码：467-470
- 作者机构：
  
  西安电子科技大学综合业务网国家重点实验室,西安,710071
- 作者简介：
- 基金信息：
  
  : 2006-09-11. 作者简介: 杨鹏(1980～),男,博士生;葛建华(联系人),男,教授,博士生导师. 基金项目: 国家自然科学基金资助项目(60332030,60496316)
- DOI：
  中图分类号： TN911.5
- 网络首发：2007-04-10，
  
  纸质出版：2007
- 稿件说明：
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杨鹏, 葛建华. 多输入多输出系统下低复杂度的自适应预编码方法[J]. 西安交通大学学报, 2007,41(4):467-470.

杨鹏, 葛建华. Adaptive Precoding Method with Low-Complexity for Multiple-Input Multiple-Output Systems[J]. 2007, 41(4): 467-470.
杨鹏, 葛建华. 多输入多输出系统下低复杂度的自适应预编码方法[J]. 西安交通大学学报, 2007,41(4):467-470. DOI：

杨鹏, 葛建华. Adaptive Precoding Method with Low-Complexity for Multiple-Input Multiple-Output Systems[J]. 2007, 41(4): 467-470. DOI：

摘要

针对多输入多输出衰落信道中存在的码间干扰和多径干扰问题

提出了一种具有低复杂度的自适应预编码方案.该方案在发送端和接收端分别放置了预编码器和基于迫零算法的接收机

这样接收机在进行均衡译码的同时

将信道信息反馈给发送端

发送端便可以随之选择发送子载波的数目以及预编码矩阵

完成自适应预编码.该方案可有效降低系统的误码率.仿真结果表明

当误码率为10

-3

时

在传输信道信息未知的情况下

该方案的信噪比比信道信息已知的基于最小均方误差预编码方案高1.3 dB

且复杂度大大降低.

Abstract

Focusing on the problem that the intersymbol interference and multipath interference exist in multiple-input multiple-output fading channels

a scheme of adaptive precoding with low-complexity is proposed

in which the precoder and the receiver based on zero forced algorithm are placed at transmitter and receiver respectively. So the receiver transmits the channel information to the transmitter while the equalized decoding is carried out

then the transmitter can choose the number of the substreams and the precoding matrices to complete the adaptive precoding. The scheme can decrease the bit error rate of the system effectively. Simulation results show that there is a 1.3 dB phase difference between the proposed scheme and the system based on minimum mean-square error precoding with known channel information under the conditio

n that the channel information is unknown when the bit error rate is 10

-3

and the complexity is decreased by order of magnitude.

关键词

Keywords

references

Paulraj A, Nabar R, Gore D. Introduction to space-time wireless communications [M]. New York: Cambridge University Press, 2003.

Windpassinger C, Fischer R H, Huber J B. Precoding in multiantenna and multiuser communications[J]. IEEE Transactions on Wireless Communications, 2004, 3(4): 1305-1316.

Proakis J G. Digital communications[M]. 4th ed. New York: McGraw Hill, 2001.

Vogelbruch F, Hear S. Low complexity turbo equalization based on soft feedback interference cancellation[J]. IEEE Communications Letters, 2005, 9(7): 586-588.

Lopes R R, Barry J R. The soft-feedback equalizer for turbo equalization of highly dispersive channels[J]. IEEE Transactions on Communications, 2006, 54(5): 783-788.

Collin L, Berder O, Rostaing P, et al. Optimal minimum distance-based precoder for MIMO spatial multiplexing systems[J]. IEEE Transactions on Signal Process, 2004, 52(3): 617-627.

Heath R W, Love D J. Multimode antenna selection for spatial multiplexing systems with linear receivers[J]. IEEE Transactions on Signal Process, 2005, 53(8): 3042-3056.

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