Wishart random matrix based Bayesian estimation for time-varying channel in the color noise

JING Yuan; YIN Fu-liang

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Wishart random matrix based Bayesian estimation for time-varying channel in the color noise

更新时间：2024-10-14

- Wishart random matrix based Bayesian estimation for time-varying channel in the color noise
- Vol. 30, Issue 2, Pages: 77-82(2009)
- 作者机构：
  
  大连理工大学电子与信息工程学院
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN911.2
- Published：2009
- 稿件说明：
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JING Yuan, YIN Fu-liang. Wishart random matrix based Bayesian estimation for time-varying channel in the color noise[J]. 2009, 30(2): 77-82.
DOI：

JING Yuan, YIN Fu-liang. Wishart random matrix based Bayesian estimation for time-varying channel in the color noise[J]. 2009, 30(2): 77-82. DOI：

摘要

提出一种适用于有色噪声环境下的贝叶斯时变信道估计方法

该方法根据Wishart随机矩阵理论和Gibbs采样方法

首先对有色噪声的协方差阵和信道参数进行初估计

在此基础上

对序贯蒙特卡洛(SMC

sequential monte carlo)采样器的参考分布进行改进

使用SMC方法对时变信道参数进行盲跟踪(无需导频信号)

从而实现了有色噪声下时变信道的半盲估计。与以往的时变信道估计方法相比

该方法具有估计误差小、顽健性强等特点。计算机仿真结果验证了该方法的有效性。

Abstract

A Bayesian estimation method for time-varying channel with the color noise was proposed.Based on random matrix theory and Gibbs sampling

the covariance matrix of the color noise and the channel parameters were firstly esti-mated.Then

the proposal distribution（or importance distribution） of the sequential monte carlo（SMC） sampler was modified to track the time-varying channel parameters blindly（with no pilot signals）.Therefore

the proposed method may online semi-blindly estimate the time-varying channel parameters in the background of color noise.Compared with existing approaches

which are based on Kalman filtering and particle filtering

the proposed method is more robust and more accurate while the color noise is considered.The simulation results show the effectiveness of the proposed method.

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Related Author

ZENG Shuo

YIN Fu-liang

JING Yuan

CHEN Xiang

LIU Pei

ZHAN Wen

LI Yuhao

HU Zhiwen

Related Institution

大连理工大学电子与信息工程学院

School of Information Engineering, Wuhan University of Technology

School of Electronics and Communication Engineering, Sun Yat-sen University

Wuhan University of Technology Advanced Engineering Technology Research Institute of Zhongshan City

School of Electronics and Information Technology (School of Microelectronics), Sun Yat-sen University

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