DocumentCode
1878716
Title
A Novel Carrier Frequency Offset Estimation Scheme in MIMO OFDM Systems
Author
He, Li-Ming
Author_Institution
Sch. of Inf. Eng., Chang´´an Univ., Xi´´an, China
fYear
2009
fDate
27-29 May 2009
Firstpage
156
Lastpage
161
Abstract
The combination of multi-input multi-output (MIMO) with orthogonal frequency division multiplexing (OFDM) is regarded as a promising technique for the future wireless communications. However, the performance of MIMO OFDM systems is very sensitive to carrier frequency offset (CFO) which introduces inter-carrier-interference (ICI). Consequently, CFO estimation plays a key role in MIMO OFDM systems. In this paper, a novel CFO estimation scheme is proposed, which is based on training sequences composed of repeated pseudo-noise (PN) sequences. In the proposed scheme, single-g estimators are adopted for CFO acquisition to get large estimation range. And, multiple-g estimators are used for CFO tracking to improve estimation accuracy. Performance analyses on our scheme are conducted. And, simulation results demonstrate that all the estimators in our scheme have superior performance, and are more robust and accurate than Schenk´s scheme both in the AWGN channel and in the multipath channel.
Keywords
AWGN channels; MIMO communication; OFDM modulation; channel estimation; multipath channels; AWGN channel; MIMO OFDM systems; carrier frequency offset estimation; inter carrier interference; multi input multi output communication; multipath channel; orthogonal frequency division multiplexing; repeated pseudonoise sequence; single-g estimator; training sequence; Frequency domain analysis; Frequency estimation; Frequency synchronization; MIMO; Maximum likelihood estimation; OFDM; Performance analysis; Robustness; Transmitting antennas; Wireless communication; Multi-Input Multi-Output (MIMO); Orthogonal Frequency Division Multiplexing (OFDM); carrier frequency offset (CFO);
fLanguage
English
Publisher
ieee
Conference_Titel
Software Engineering, Artificial Intelligences, Networking and Parallel/Distributed Computing, 2009. SNPD '09. 10th ACIS International Conference on
Conference_Location
Daegu
Print_ISBN
978-0-7695-3642-2
Type
conf
DOI
10.1109/SNPD.2009.107
Filename
5286677
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