MIMO OFDM frequency offset estimator with low computational complexity

被引：1
|
作者：
Jiang, Yanxiang [1 ]
You, Xiaohu [1 ]
Gao, Xiqi [1 ]
Minn, Hlaing [2 ]
机构：
[1] Southeast Univ, Natl Mobile Commun Res Lab, Nanjing 210096, Peoples R China
[2] Univ Texas Dallas, Dept Elect Engn, Richardson, TX 75083 USA
来源：
2007 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS, VOLS 1-14 | 2007年
基金：
中国国家自然科学基金;
关键词：
D O I：
10.1109/ICC.2007.903
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 a low complexity frequency offset estimator for multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems over frequency selective fading channels. By exploiting the good correlation property of the training sequences, which are constructed from the Chu sequence, carrier frequency offset (CFO) estimation is obtained with great complexity reduction through factor decomposition for the derivative of the cost function. The CFO estimate's variance and Cramer-Rao bound (CRB) are developed to optimize the parameter of the simplified estimator and also to evaluate the estimation performance. Simulation results verify the good performance of the training-assisted CFO estimator.
引用
收藏
页码：5449 / +
页数：3
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