DocumentCode :
1460545
Title :
Fine carrier and sampling frequency synchronization in OFDM systems
Author :
Morelli, Michele ; Moretti, Marco
Author_Institution :
Dipt. Ing. dell´´Inf., Univ. di Pisa, Pisa, Italy
Volume :
9
Issue :
4
fYear :
2010
fDate :
4/1/2010 12:00:00 AM
Firstpage :
1514
Lastpage :
1524
Abstract :
This paper investigates the joint pilot-assisted estimation of the residual carrier frequency offset (RCFO) and sampling frequency offset (SFO) in an orthogonal frequency division multiplexing (OFDM) system. As it is known, the exact maximum-likelihood (ML) solution to this problem involves a bidimensional grid-search that cannot be pursued in practice. After introducing an enlarged set of auxiliary unknown parameters, however, the RCFO and SFO recovery tasks can be decoupled and the bidimensional search is thus replaced with a simpler mono-dimensional search. This results into an estimation algorithm of reasonable complexity which is suitable for practical implementation. To further reduce the processing load, we also present an alternative scheme yielding frequency estimates in closed-form. Numerical simulations indicate that the proposed methods outperform existing estimators available in the literature in terms of both estimation accuracy and error-rate performance.
Keywords :
OFDM modulation; frequency estimation; maximum likelihood estimation; signal sampling; synchronisation; OFDM system; frequency estimation; maximum likelihood solution; orthogonal frequency division multiplexing; residual carrier frequency offset; sampling frequency offset; synchronization; Digital video broadcasting; Estimation error; Frequency estimation; Frequency synchronization; Maximum likelihood estimation; OFDM; Phase estimation; Sampling methods; Timing; Wireless LAN; OFDM; frequency estimation; residual carrier frequency offset; sampling frequency offset;
fLanguage :
English
Journal_Title :
Wireless Communications, IEEE Transactions on
Publisher :
ieee
ISSN :
1536-1276
Type :
jour
DOI :
10.1109/TWC.2010.04.091058
Filename :
5441372
Link To Document :
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