Parametrical Channel Estimation for Flat-Fading Correlated Multiple Input Multiple Output Systems

罗铭; 殷勤业; 冯昂; 邓科

您当前的位置：

首页 >

文章列表页 >

Parametrical Channel Estimation for Flat-Fading Correlated Multiple Input Multiple Output Systems

更新时间：2025-12-08

- Parametrical Channel Estimation for Flat-Fading Correlated Multiple Input Multiple Output Systems
- Vol. 41, Issue 12, Pages: 1431-1435(2007)
- 作者机构：
  
  西安交通大学电子与信息工程学院,西安,710049
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN911.7
- Online First：10 December 2007，
  
  Published：2007
- 稿件说明：
移动端阅览
罗铭, 殷勤业, 冯昂, et al. Parametrical Channel Estimation for Flat-Fading Correlated Multiple Input Multiple Output Systems[J]. 2007, 41(12): 1431-1435.
DOI：

罗铭, 殷勤业, 冯昂, et al. Parametrical Channel Estimation for Flat-Fading Correlated Multiple Input Multiple Output Systems[J]. 2007, 41(12): 1431-1435. DOI：

摘要

针对多输入多输出(MIMO)系统中信道空域相关影响信道估计性能的问题

提出了一种基于多径参数估计的信道估计方法.该方法适用于多径稀疏信道环境下的双端部署均匀线性阵列的MIMO系统

通过构建信道的多径参数化模型

用多径的径参数描述信道矩阵和信道空域相关

将信道估计问题转化为多径参数的估计

并采用波达矩阵算法估计出多径参数以完成信道估计.由于利用了信道的多径结构

在不需预知信道空域相关的情况下

能够获得比Least-Square方法更好的信道估计性能.仿真实验表明

与Least-Square方法相比

当信道估计均方误差达到10

-1

时

该方法在4×4和6×6的MIMO系统中分别能够获得2.5 dB和5 dB的信噪比增益.

Abstract

Focusing on the problem that the performance of channel estimation is influenced by spatial correlation in multiple input multiple output(MIMO)systems

a parametrical channel estimation method based on estimating multipath parameters is proposed. The proposed method can be applied to flat-fading correlated MIMO systems which employing uniform linear arrays on dual-side in sparse multipath environment. By modeling channel matrix and spatial correlation of MIMO systems with multipath parameters

channel estimation problem is converted to multipath parameters estimation

then

multipath parameters are estimated by direction of arrival-matrix algorithm. The proposed method can achieve better performance than least-square method without any prior know

ledge of spatial correlation. In simulations

compared with least-square method

when mean square error is 10

-1

the proposed method can obtain 2.5dB

5dB SNR gains for 4×4

6×6 systems respectively.

关键词

Keywords

references

Foschini G J, Gans M J. On limits of wireless communications in a fading environment when using multiple antennas [J]. Wireless Personal Communications, 1998, 6(1):311-335.

Shiu D S, Foschini G J, Gans M J, et al. Fading correlation and its effect on the capacity of multielement antenna systems [J]. IEEE Transactions on Communication, 2000, 48(3): 502-513.

Kotecha J H, Sayeed A M. Transmit signal design for optimal estimation of correlated MIMO channels [J]. IEEE Transactions on Signal Processing, 2004, 52(2):546-557.

Biguesh M, Gershman A B. Training-based MIMO channel estimation: a study of estimator tradeoffs and optimal training signals [J]. IEEE Transactions on Signal Processing, 2006, 54(3):884-893.

Molisch A F. A generic model for MIMO wireless propagation channels in macro- and microcells [J]. IEEE Transactions. on Signal Processing, 2004, 52(1):61-71.

Yin Qinye, Newcomb R W, Zou Lihe. Estimating 2-D angles of arrival via two parallel linear array [C]∥Proc IEEE ICASSP'89. Piscataway, USA: IEEE Press, 1989: 2803-2806.

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Combined Carrier Frequency Offset and Channel Estimation for Orthogonal Frequency Division Multiplexing Packet Transmission Systems

Ultra Wide-Band Channel Estimation and Signal Detection Through Compressed Sensing

Adaptive Quantization Threshold Setting Method for Massive MIMO Systems with 1-bit Analog-to-Digital Converter

A High Rate Differential Chaos Shift Keying Communication Scheme with Multiple Input and Multiple Output

A Channel Estimation Method Constrained by a 3D Channel Model for Massive MIMO

Related Author

王绍鹏

朱世华

张国梅

张先玉

刘郁林

王开

严飞

李国兵

Related Institution

DSP Laboratory, Chongqing Communication Institute

School of Electronic and Information Engineering, Xi'an Jiaotong University

School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications

Faculty of Electronic and Information Engineering, Xi’an Jiaotong University

⁰