DocumentCode :
3227911
Title :
Phase noise and carrier frequency offset in OFDM systems: Joint estimation and hybrid Cramér-Rao lower bound
Author :
Salim, Omar Hazim ; Nasir, Ali A. ; Mehrpouyan, Hani ; Wei Xiang
Author_Institution :
Fac. of Eng. & Surveying, Univ. of Southern Queensland, Toowoomba, QLD, Australia
fYear :
2013
fDate :
16-19 June 2013
Firstpage :
649
Lastpage :
653
Abstract :
In this paper, a new iterative pilot-aided algorithm based on expectation conditional maximization (ECM) for joint estimation of Wiener phase noise (PHN) and carrier frequency offset (CFO) in orthogonal frequency division multiplexing (OFDM) systems is proposed. Next, a new expression for the hybrid Cramér-Rao lower bound (HCRB) for joint estimation of PHN and CFO in OFDM systems is derived. Numerical results show that the proposed estimator outperforms existing algorithms in terms of mean square error while performing close to the derived HCRB at moderate PHN variances. Moreover, the proposed estimator is found to be computationally more efficient than existing algorithms since it jointly estimates PHN and CFO in a few iterations.
Keywords :
OFDM modulation; expectation-maximisation algorithm; frequency estimation; mean square error methods; phase noise; ECM; HCRB; OFDM systems; PHN; Wiener phase noise; carrier frequency offset; expectation conditional maximization; hybrid Cramer-Rao lower bound; iterative pilot-aided algorithm; joint estimation; mean square error methods; orthogonal frequency division multiplexing; Estimation; Joints; OFDM; Phase noise; Signal processing algorithms; Signal to noise ratio; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Advances in Wireless Communications (SPAWC), 2013 IEEE 14th Workshop on
Conference_Location :
Darmstadt
ISSN :
1948-3244
Type :
conf
DOI :
10.1109/SPAWC.2013.6612130
Filename :
6612130
Link To Document :
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