DocumentCode :
3417407
Title :
Low complexity blind estimation of the carrier frequency offset in multicarrier systems
Author :
Ferreira, Tadeu N. ; Netto, Sergio L. ; Diniz, Paulo S R ; Baltar, Leonardo G. ; Nossek, Josef A.
Author_Institution :
Fed. Univ. of Rio de Janeiro, Rio de Janeiro, Brazil
fYear :
2008
fDate :
March 31 2008-April 4 2008
Firstpage :
3045
Lastpage :
3048
Abstract :
In orthogonal frequency division multiplexing (OFDM), carrier frequency offset (CFO) must be mitigated since it generates interference between received symbols transmitted through different sub-carriers. This paper presents a new algorithm for CFO estimation with reduced computational complexity. The new approach is based on the segmentation of the input-signal autocorrelation matrix into the noise and signal subspaces, the latter being employed to estimate the desired CFO. Simulations validate the effectiveness of the new algorithm in comparison to the traditional parametric estimation technique ESPRIT.
Keywords :
OFDM modulation; blind source separation; correlation methods; frequency estimation; CFO estimation; ESPRIT; carrier frequency offset; computational complexity; digital communications; input-signal autocorrelation matrix; low complexity blind estimation; multicarrier systems; noise subspaces; orthogonal frequency division multiplexing; parametric estimation; received symbols; signal processing; signal subspaces; Communication systems; Computational complexity; Computational modeling; Degradation; Discrete Fourier transforms; Frequency estimation; Intersymbol interference; OFDM modulation; Parameter estimation; Signal processing algorithms; Digital communications; Parameter estimation; Signal processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
Conference_Location :
Las Vegas, NV
ISSN :
1520-6149
Print_ISBN :
978-1-4244-1483-3
Electronic_ISBN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2008.4518292
Filename :
4518292
Link To Document :
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