Bayesian integer frequency offset estimator for MIMO-OFDM systems

被引：0

作者：

Zhao Linjing ^{[1
]}

Lu Zhuo ^{[1
]}

Li Jiandong ^{[1
]}

机构：

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

来源：

JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS | 2008年 / 19卷 / 06期

关键词：

multiple-input-multiple-output; orthogonal frequency-division multiplexing; integer frequency offset; estimation;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Carrier frequency offset (CFO) in MIMO-OFDM systems can be decoupled into two parts: fraction frequency offset (FFO) and integer frequency offset (IFO). The problem of IFO estimation is addressed and a new IFO estimator based oil the Bayesian philosophy is proposed. Also, it is shown that the Bayesian IFO estimator is optimal among all the IFO estimators. Furthermore, the Bayesian estimator call take advantage of oversampling so that better performance call be obtained. Finally, numerical results show the optimality of the Bayesian estimator and validate the theoretical analysis.

引用

页码：1109 / 1114

页数：6

共 9 条

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