DocumentCode
2146434
Title
Reduced complexity blind deterministic frequency offset estimation in OFDM systems
Author
Jeon, Hyoung-Goo ; Kim, Kyoung-Soo ; Serpedin, Erchin
Author_Institution
Dept. of Inf. Commun. Eng., Dongeui Univ., Busan, South Korea
fYear
2011
fDate
22-27 May 2011
Firstpage
3544
Lastpage
3547
Abstract
This paper proposes an efficient blind deterministic carrier frequency offset (CFO) estimation method for orthogonal frequency division multiplexing (OFDM) systems. In the proposed method, two OFDM symbols with time difference are generated by exploiting both the oversampled OFDM signal and the cyclic prefix, and a cost function is introduced for CFO estimation. It is shown that the cost function can be expressed as a cosine function. Using a property of the cosine function, a formula for deterministically estimating the CFO is derived. The proposed method is very suitable for real wireless environments since it requires only one OFDM symbol for blind reliable estimation of CFO. The proposed method is very efficient in computational complexity since no searching operation for the minimum cost value is required. The computer simulations show that the performance of the proposed method is superior to those of the MUSIC method and the ML method.
Keywords
OFDM modulation; computational complexity; ML method; MUSIC method; OFDM systems; carrier frequency offset; complexity blind deterministic frequency offset estimation reduction; computational complexity; cosine function; cost function; cyclic prefix; minimum cost value; orthogonal frequency division multiplexing; time difference; wireless environments; Cost function; Discrete Fourier transforms; Estimation; Frequency division multiplexing; Frequency estimation; Multiple signal classification; OFDM; Orthogonal Frequency Division Multiplexing (OFDM); blind; carrier frequency; estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on
Conference_Location
Prague
ISSN
1520-6149
Print_ISBN
978-1-4577-0538-0
Electronic_ISBN
1520-6149
Type
conf
DOI
10.1109/ICASSP.2011.5946243
Filename
5946243
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