Joint maximum-likelihood estimation of frequency offset and channel in MIMO systems

被引：0

作者：

Dong Wei ^{[1
]}

Li Jiandong ^{[1
]}

Lu Zhuo ^{[1
]}

机构：

[1] Xidian Univ, Broadband Wireless Commun Lab, Inst Informat Sci, State Key Lab Integrated Serv Networks, Xian 710071, Peoples R China

来源：

CHINESE JOURNAL OF ELECTRONICS | 2008年 / 17卷 / 03期

基金：

中国国家自然科学基金;

关键词：

particle swarm optimization; multi-input multi-output; frequency offsets estimation; channel estimation;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper addresses the problem of frequency offsets and channel gains estimation for a Multi-input multi-output (MIMO) system in flat-fading channels. The general case where the frequency offsets are possibly different for each transmit antenna is considered. The Maximum-likelihood (ML) estimation of the carrier frequency offset for each transmit antenna in a MIMO system is investigated in this paper. The exact solution to this estimation problem turns out to be too complex as it involves a search over a multi-dimensional domain. However, by making use of the Particle swarm optimization (PSO) method, we efficiently solve the above complex problem. So based on the PSO theory, a novel joint estimation algorithm of frequency offsets and channel gains is proposed. Simulation results show that the proposed algorithm has better performance as compared with the correlation-based estimation algorithm and asymptotically achieves the Cramer-Rao lower bound (CRLB), which provides a new idea to solve the problem of joint frequency offsets and channel gains estimation for MIMO systems.

引用

页码：497 / 502

页数：6

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