A Low-Complexity QR Factorization Based Iterative Receiver for MIMO Systems

CHEN Liang; LI Jian-dong

您当前的位置：

首页 >

文章列表页 >

A Low-Complexity QR Factorization Based Iterative Receiver for MIMO Systems

更新时间：2025-07-16

- A Low-Complexity QR Factorization Based Iterative Receiver for MIMO Systems
- Acta Electronica Sinica Vol. 35, Issue 6A, Pages: 25-29(2007)
- 作者机构：
  
  西安电子科技大学综合业务网理论与关键技术国家重点实验室,陕西,西安,710071
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN911.5
- Published：2007
- 稿件说明：
移动端阅览
CHEN Liang, LI Jian-dong. A Low-Complexity QR Factorization Based Iterative Receiver for MIMO Systems[J]. Acta Electronica Sinica, 2007, 35(6A): 25-29.
DOI：

CHEN Liang, LI Jian-dong. A Low-Complexity QR Factorization Based Iterative Receiver for MIMO Systems[J]. Acta Electronica Sinica, 2007, 35(6A): 25-29. DOI：

摘要

本文提出了一种应用于MIMO系统的新型低复杂度迭代接收机.接收端采用基于QR分解的干扰抵消

对不同层分组并进行部分并行干扰抵消

组内采用MAP联合检测输出软信息

通过交织解交织器将软入软出检测器与turbo迭代译码器级联起来

经过迭代有效的消除了多天线间的干扰.文中采用三维外信息转移图分析了接收机迭代过程.与传统基于QR分解的串行干扰抵消迭代接收机相比性能有了极大提高

并且受信噪比估计误差的影响较小.

Abstract

A novel low-complexity iterative receiver in Multiple Input Multiple Output(MNVIO) channel is presented.Partial parallel interference cancellation based on QR decomposition is used in

which different layers is grouped and jointly detected by MAP.The interference between different antennas is cancelled effectively through serially concatenating a soft input soft output(SISO) detector and Turbo decoder by iterative process.Three dimension extrinsic information transfer characteristics(3D EXIT charts) are used to analysis the processes of iterative.Compared with traditional QR based serial interference cancellation iterative rerxiver

tbe performance of the proposed receiver is improved greatly.And it is not sensitivity to the mismatched SNR.

关键词

Keywords

references

Views

976

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Hardware Implementation of Orthogonal Matching Pursuit Algorithm for Weighted QR Decomposition

Adaptive and Iterative Training Algorithm of Least Square Support Vector Machine Regression

A Study of Multiuser Feedback-Based Decision Feedback Equalizer

An lterative lmaging Method for 2－D Perfectly Conducting Object Embedded in a Dielectric Region

Related Author

LI Miao

WANG Xi

LIANG Wen-kai

YANG Hong

ZHANG Hong-sheng

LIU Ting

MOU Xiao-shuang

ZHANG Lei

Related Institution

School of Optoelectronic Engineering， Chongqing University of Posts and Telecommunications

吉林大学计算机科学与技术学院, 国家教育部符号计算与知识工程重点实验室

华南理工大学理学院数学系

中国科学院自动化研究所模式识别国家重点实验室

Wuhan National Laboratory for Optoelectronics,Huazhong University of Science and Technology

⁰