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

被引：0

作者：

Jing, Yuan ^{[1
]}

Yin, Fu-Liang ^{[1
]}

Zeng, Shuo ^{[1
]}

机构：

[1] School of Electronic and Information Engineering, Dalian University of Technology, Dalian 116023, China

来源：

Tongxin Xuebao/Journal on Communications | 2007年 / 28卷 / 08期

关键词：

Orthogonal frequency division multiplexing - Wireless telecommunication systems;

D O I：

暂无

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

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 performed in frequency domain, it was not necessary to know (or estimate) the length of the channel. Compared with existing 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.

引用

页码：67 / 75