DocumentCode :
1681470
Title :
An Efficient Near Blind Carrier Frequency Offset Estimation Scheme for MIMO-OFDM Systems
Author :
Sameer, S.M. ; Kumar, R. V Raja
Author_Institution :
Dept. of Electron. & Commun. Eng., Nat. Inst. of Technol. Calicut, Calicut
fYear :
2008
Firstpage :
1
Lastpage :
5
Abstract :
A novel technique for the estimation of carrier frequency offset (CFO) in orthogonal frequency division multiplexing (OFDM) based multiple input multiple output (MIMO) communication systems is proposed in this paper. While the conventional null subcarrier based methods estimate the CFO through a single global line search, the proposed method employs a two step procedure. Firstly the integer frequency offset is estimated by means of a cost function minimization over the trial integer offset values. Then the fractional frequency offset is estimated through a fine search over one subcarrier spacing on either side centered on zero offset reference after correcting the integer offset. We also propose a novel null subcarrier allocation scheme based on Fibonacci series, which ensures a CFO estimation range equal to the OFDM bandwidth. Furthermore, performance of the proposed frequency offset estimator is mathematically analyzed by deriving the Cramer-Rao lower bound and compared it with the mean square estimation error to demonstrate its efficiency. Our algorithm is shown to outperform a popular method reported in literature in terms of BER performance and estimation complexity.
Keywords :
MIMO communication; OFDM modulation; error statistics; frequency estimation; mean square error methods; BER performance; MIMO-OFDM systems; cost function minimization; integer frequency offset; mean square estimation error; multiple input multiple output communication systems; near blind carrier frequency offset estimation scheme; orthogonal frequency division multiplexing; single global line search; Bandwidth; Bit error rate; Cost function; Estimation error; Frequency conversion; Frequency estimation; MIMO; OFDM; Performance analysis; Signal processing algorithms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Telecommunications Conference, 2008. IEEE GLOBECOM 2008. IEEE
Conference_Location :
New Orleans, LO
ISSN :
1930-529X
Print_ISBN :
978-1-4244-2324-8
Type :
conf
DOI :
10.1109/GLOCOM.2008.ECP.627
Filename :
4698402
Link To Document :
بازگشت