Low Complexity Algorithm for Frequency Offset and Channel Estimation in MIMO-OFDM Systems

被引：0
|
作者：
Kandovan, R. Shaghaghi [1 ]
Salari, S. [2 ]
Heydarzadeh, M. [2 ]
机构：
[1] Islamic Azad Univ, Shahre Rey Branch, Tehran, Iran
[2] KN Toosi Univ Technol, Fac Elect Engn, Tehran, Iran
来源：
12TH INTERNATIONAL CONFERENCE ON ADVANCED COMMUNICATION TECHNOLOGY: ICT FOR GREEN GROWTH AND SUSTAINABLE DEVELOPMENT, VOLS 1 AND 2 | 2010年
关键词：
Carrier frequency offset; channel impulse response; maximum-likelihood (ML) estimation; multiple-input multiple-output (MIMO); orthogonal frequency division multiplexing (OFDM); RECEIVER DESIGN;
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：
In this study, we present a new reduced-complexity scheme for maximum-likelihood (ML) estimate of both carrier-frequency offset (CFO) and channel coefficients in multi antenna OFDM transmission, assuming that a training sequence is available. Our scheme is also capable to accommodate any space-time coded (STC) transmission. Moreover, to benchmark the performance of the proposed scheme, the Cramer-Rao bounds (CRBs) are derived for both CFO and channel estimators. Simulation results show that the proposed scheme achieves almost ideal performance compared with the CRBs in all ranges of signal-to-noise ratios (SNR) for both channel and frequency offset estimates.
引用
收藏
页码：134 / 138
页数：5
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