Low complexity MIMO-OFDM channel estimation based on space time block training sequence

DONG Liang; CAO Xiu-ying; BI Guang-guo

您当前的位置：

首页 >

文章列表页 >

Low complexity MIMO-OFDM channel estimation based on space time block training sequence

更新时间：2024-10-14

- Low complexity MIMO-OFDM channel estimation based on space time block training sequence
- Issue 6, Pages: 57-63(2006)
- 作者机构：
  
  1. 东南大学移动通信国家重点实验室
  2. 东南大学移动通信国家重点实验室,江苏,南京,210096
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN919.3
- Published：2006
- 稿件说明：
移动端阅览
DONG Liang, CAO Xiu-ying, BI Guang-guo. Low complexity MIMO-OFDM channel estimation based on space time block training sequence[J]. 2006, (6): 57-63.
DOI：

DONG Liang, CAO Xiu-ying, BI Guang-guo. Low complexity MIMO-OFDM channel estimation based on space time block training sequence[J]. 2006, (6): 57-63. DOI：

摘要

为提高MIMO-OFDM系统信道估计的性能

首先通过分析揭示了基于空时分组训练序列的MMSE信道估计器和子空间投影之间的关系。在此基础上

对空时分组训练序列简单得到的LS信道估计器进行子空间投影

得到了复杂度较低同时性能良好的信道估计。为进一步提高性能

最后提出了一种基于FFT的多径时延估计方法

使用该方法可以得到更精确的信道响应信号子空间

从而提高投影估计的性能。计算机仿真证明了所提出算法的有效性。

Abstract

In order to improve the performance of MIMO-OFDM channel estimation

the connection between MMSE channel estimator and subspace projecting was analyzed in the context of space time block training sequence firstly.Then the LS channel estimator obtained simply by space time block training sequence was projected to the signal subspace to get an estimator that was efficient but of low complexity.To further improve the estimation performance

the multipath delay was estimated by FFT

and then a more accurate channel response signal space was obtained

so the performance of subspace projecting was also improved.The efficiency of the algorithms presented is proved by computer simulations.

关键词

Keywords

references

Views

1005

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Joint iterative decision feedback channel estimation and detection for Turbo coded V-BLAST MIMO-OFDM systems

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

Related Author

QIAO Xiao-qiang1

CAI Yue-ming1

XU Xin1

XU You-yun1

CAO Zhe

WEN Miaowen

HUANG Yu

CHEN Fangjiong

Related Institution

Institute of Communications Engineering,PLA Univ.of Sci.＆ Tech.

The 63rd Research Institute of PLA General Staff Headquarters

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

AI问答

⁰