Blind channel estimation for multiple antenna OFDM system subject to unknown carrier frequency offset

被引：2

作者：

Zhang, Xiaofei ^{[1
]}

Xu, Dazhuan ^{[1
]}

机构：

[1] Nanjing Univ Aeronaut & Astronaut, Dept Elect Engn, Nanjing 210016, Jiangsu, Peoples R China

来源：

JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS | 2014年 / 25卷 / 05期

基金：

中国国家自然科学基金;

关键词：

channel estimation; orthogonal frequency division multiplexing (OFDM); multiple antennas; multiple signal classification (MUSIC); SUBSPACE-BASED BLIND; IDENTIFICATION; SYNCHRONIZATION; DIVERSITY;

D O I：

10.1109/JSEE.2014.00082

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The problem of channel estimation for multiple antenna orthogonal frequency division multiplexing (OFDM) systems subject to unknown carrier frequency offset (CFO) is addressed. Multiple signal classification (MUSIC)-like algorithm, which generally has been used for direction estimation or frequency estimation, is used for channel estimation in multiple antenna OFDM systems. A reduced dimensional (RD)-MUSIC based algorithm for channel estimation is proposed in multiple antenna OFDM systems with unknown CFO. The Cramer-Rao bound (CRB) of channel estimation in multiple antenna OFDM systems with unknown CFO is derived. The proposed algorithm has a superior performance of channel estimation compared with the Capon method and the least squares method.

引用

页码：721 / 727

页数：7

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