Autocorrelation based channel estimation method for space-time block coding system

YING Ren-dong; XU Guo-zhi

您当前的位置：

首页 >

文章列表页 >

Autocorrelation based channel estimation method for space-time block coding system

更新时间：2024-10-14

- Autocorrelation based channel estimation method for space-time block coding system
- Issue 11, Pages: 76-80(2007)
- 作者机构：
  
  1. 上海交通大学电信学院
  2. 上海交通大学电信学院,上海,200240
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN911.2
- Published：2007
- 稿件说明：
移动端阅览
YING Ren-dong, XU Guo-zhi. Autocorrelation based channel estimation method for space-time block coding system[J]. 2007, (11): 76-80.
DOI：

YING Ren-dong, XU Guo-zhi. Autocorrelation based channel estimation method for space-time block coding system[J]. 2007, (11): 76-80. DOI：

摘要

提出了空时块编码(STBC)系统中基于相关函数的信道估计的方法。当输入符号向量的各个元素互不相关时

接收信号的相关函数有特定的结构

信道矩阵可以从接收信号的相关矩阵的特征向量中得到

信道估计结果和真实值仅相差一个常数。研究还发现当发送信号的相关函数满足特定的条件时

可以直接从接收信号的协方差得到信道参数

而不需要矩阵分解或者求逆运算。

Abstract

An autocorrelation based method was proposed to estimate the channel of the space-time block coding（STBC） system.It is shown that when the inputted symbol vector is spatially white

the autocorrelation of the received signal has specific structure due to the orthogonal property of STBC system.From the eigenvector of the autocorrelation matrix

the channel information can be estimated up to a scalar.When the autocorrelation matrix satisfies certain condition

the esti-mation procedure could be further simplified and the channel was obtained directly from the autocorrelation matrix without any matrix inverse or decomposition operation.

关键词

Keywords

references

Views

721

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Sparse channel estimation and data detection for AFDM with superimposed pilot scheme

Joint channel estimation and blockage diagnosis in RIS-assisted multi-user millimeter-wave systems

Survey on deep learning-based integrated sensing and communication systems

THz UM-MIMO system channel estimation algorithm based on deep residual block fixed-point network

Related Author

CAO Zhe

WEN Miaowen

HUANG Yu

CHEN Fangjiong

LI Shuangzhi

LIU Cong

GUO Xin

WANG Han

Related Institution

School of Electronic and Information Engineering, South China University of Technology

Guangdong Provincial Key Laboratory of Short-Range Wireless Detection and Communication

Research Center of Intelligent Communication Engineering, School of Electronics and Communication Engineering, Guangzhou University

School of Electrical and Information Engineering, Zhengzhou University

College of Artificial Intelligence and Information Engineering, Yichun University

AI问答

⁰