Particle filtering based semi-blind estimation for MIMO-OFDM time-varying channel

JING Yuan; YIN Fu-liang; ZENG Shuo

您当前的位置：

首页 >

文章列表页 >

Particle filtering based semi-blind estimation for MIMO-OFDM time-varying channel

更新时间：2024-10-14

- Particle filtering based semi-blind estimation for MIMO-OFDM time-varying channel
- Issue 8, Pages: 67-75(2007)
- 作者机构：
  
  1. 大连理工大学电子与信息工程学院
  2. 大连理工大学电子与信息工程学院,辽宁,大连,116023
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN919.72
- Published：2007
- 稿件说明：
移动端阅览
JING Yuan, YIN Fu-liang, ZENG Shuo. Particle filtering based semi-blind estimation for MIMO-OFDM time-varying channel[J]. 2007, (8): 67-75.
DOI：

JING Yuan, YIN Fu-liang, ZENG Shuo. Particle filtering based semi-blind estimation for MIMO-OFDM time-varying channel[J]. 2007, (8): 67-75. DOI：

摘要

提出一种基于粒子滤波的MIMO-OFDM时变信道半盲估计方法。首先

对粒子滤波算法进行改进

通过对采样粒子分布进行局部优化调整

提出一种局部优化粒子滤波算法。然后

将该粒子滤波算法用于MIMO-OFDM时变信道估计。由于该信道估计过程在频域进行

因而无需已知(或估计)多径信道长度。与现有时变信道半盲估计方法相比

本方法具有估计误差低、对非高斯噪声顽健性强等特点

从而有效改善了接收端的符号检测性。计算机仿真结果证明了本方法的有效性。

Abstract

A semi-blind channel estimation method based on the particle filtering was proposed for the MIMO-OFDM wireless communication system.By optimizing the particles distribution locally

the traditional particle filtering algorithm was modified

and a local optimized particle filtering was proposed.This local optimized particle filtering can achieve the low MSE

and improve the precision of the MIMO-OFDM time-varying channel estimation.Since this method was per-formed in frequency domain

it was not necessary to know（or estimate） the length of the channel.Compared with exist-ing approaches

the proposed method was more robust to the non-gauss distribution noise and the detection performance is nearly optimal.The simulation results show the effectiveness of the proposed method.

关键词

Keywords

references

Views

1201

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

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

Dual-station pseudo-Doppler localization method based on particle filtering with stable distribution noise

Time-varying channel estimation for LTE uplink SC-FDMA system with multi-user

Improved particle filtering based algorithm for time delay and symbols joint estimation of PSK signals

Multi-user channel estimation for uplink OFDMA systems based on the random-set theory

Related Author

JING Yuan

YIN Fu-liang

shuang QIUTian

zhe QIYin

Li-hua YANG

Long-xiang YANG

Hong-bo ZHU

Nan XIA

Related Institution

Faculty of Electronic Information and Electrical Engineering,Dalian University of Technology

Lab.of Wireless Communications,Nanjing University of Posts and Telecommunications,Nanjing

Faculty of EIEE,Dalian University of Technology

School of Information, Liaoning University

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

AI问答

⁰