Title :
Efficient Structure-Based Carrier Offset Estimator for OFDM System
Author :
Hiren, Gami ; Qasaymeh, M.M. ; Nizar, T. ; Pendse, Ravi ; Sawan, M.E.
Author_Institution :
EECS, Wichita State Univ., Wichita, KS
Abstract :
In this paper, we proposed a closed form solution for blind orthogonal frequency division multiplexing (OFDM) carrier frequency offset (CFO) estimation employing the rank- revealing QR triangular factorization method (RRQR). The advantage of using the RRQR it gives precious information about numerical rank and efficiently separates the signal space from the noise space. Furthermore, the RRQR does not involve the eigenvalue decomposition (EVD) or singular value decomposition (SVD) of co-variance matrix of the received signals and is a valuable tool in linear algebra to meet compatibility requirement of real time environment. Computer simulations shows the superior performance and much less processing time of RRQR compared with the method employing ESPRIT algorithm.
Keywords :
OFDM modulation; covariance matrices; eigenvalues and eigenfunctions; frequency estimation; ESPRIT algorithm; OFDM system; covariance matrix; efficient structure-based carrier frequency offset estimator; eigenvalue decomposition; linear algebra; orthogonal frequency division multiplexing system; rank-revealing QR triangular factorization method; singular value decomposition; Closed-form solution; Computer simulation; Covariance matrix; Eigenvalues and eigenfunctions; Frequency estimation; Linear algebra; Matrix decomposition; OFDM; Singular value decomposition; Working environment noise;
Conference_Titel :
Vehicular Technology Conference, 2009. VTC Spring 2009. IEEE 69th
Conference_Location :
Barcelona
Print_ISBN :
978-1-4244-2517-4
Electronic_ISBN :
1550-2252
DOI :
10.1109/VETECS.2009.5073527