The Large Sample Performance of a Maximum Likelihood Method for OFDM Carrier Frequency Offset Estimation

Authors:
Fei Cheng;Qi Cheng
Affiliations:
Department of Electronics and Information, Anhui Vocational College of Electronics and Information Technology, Bengbu University City, Bengbu, People's Republic of China 233000;School of Engineering, University of Western Sydney, Penrith MC, Australia 1797
Venue:
Wireless Personal Communications: An International Journal
Year:
2013

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Abstract

This paper is concerned with the performance analysis of a blind method for carrier frequency offset (CFO) estimation in OFDM systems. The method generates a maximum likelihood CFO estimate when message-carrying symbols and channel are assumed nonrandom. It has been observed in simulation that, when a large number of OFDM blocks are in use under noisy scenarios, the performance of the method does not achieve the corresponding Cramer-Rao lower bound (CRB) and is lower bounded by another (larger) CRB when symbols are assumed random. This phenomenon is caused by the inconsistency of nonrandom symbol estimates and is further verified by using first-order perturbation analysis and comparison with the two CRBs.