DocumentCode :
3236143
Title :
Subspace based blind CFO estimation for OFDM by exploiting used carriers
Author :
Hiren, Gami ; Qasaymeh, M.M. ; Tayem, Nizar ; Pendse, Ravi ; Sawan, M.E.
Author_Institution :
EECS, Wichita State Univ., Wichita, KS
fYear :
2009
fDate :
March 30 2009-April 1 2009
Firstpage :
1
Lastpage :
4
Abstract :
Orthogonal frequency division multiplexing (OFDM) is a promising technique to handle impairments of multipath channel. Alternatively, one of its major drawbacks is the drift in reference carrier, which is known as carrier frequency offset (CFO). Hence, the CFO should be estimated and compensated with a sufficient accuracy. In this paper, a new algorithm for blind CFO-OFDM estimation is obtained by introducing the propagator method (PM) in conjunction with the well-known MUSIC based high resolution searching algorithm. Furthermore, the PM does not require the eigenvalue decomposition (EVD) or singular value decomposition (SVD) of the covariance matrix of the received signals; Simulations are also included to demonstrate the effectiveness of the proposed method in comparison with other conventional methods.
Keywords :
OFDM modulation; covariance matrices; eigenvalues and eigenfunctions; estimation theory; multipath channels; signal classification; singular value decomposition; MUSIC; OFDM; carrier frequency offset; covariance matrix; eigenvalue decomposition; high resolution searching algorithm; multipath channel; orthogonal frequency division multiplexing; propagator method; singular value decomposition; subspace based blind CFO estimation; Communication standards; Discrete Fourier transforms; Eigenvalues and eigenfunctions; Fading; Frequency estimation; Multiple signal classification; OFDM modulation; Signal resolution; Singular value decomposition; USA Councils; DFT; Estimation; Frequency Offset; MUSIC; OFDM; Propagator Method;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sarnoff Symposium, 2009. SARNOFF '09. IEEE
Conference_Location :
Princeton, NJ
Print_ISBN :
978-1-4244-3381-0
Electronic_ISBN :
978-1-4244-3382-7
Type :
conf
DOI :
10.1109/SARNOF.2009.4850278
Filename :
4850278
Link To Document :
بازگشت