%0 Journal Article
	%A Keunhong Chae and  Seokho Yoon
	%D 2014
	%J International Journal of Electrical and Computer Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 93, 2014
	%T Frequency Offset Estimation Schemes Based On ML for OFDM Systems in Non-Gaussian Noise Environments
	%U https://publications.waset.org/pdf/9999361
	%V 93
	%X In this paper, frequency offset (FO) estimation schemes
robust to the non-Gaussian noise environments are proposed for
orthogonal frequency division multiplexing (OFDM) systems. First,
a maximum-likelihood (ML) estimation scheme in non-Gaussian
noise environments is proposed, and then, the complexity of the
ML estimation scheme is reduced by employing a reduced set of
candidate values. In numerical results, it is demonstrated that the
proposed schemes provide a significant performance improvement
over the conventional estimation scheme in non-Gaussian noise
environments while maintaining the performance similar to the
estimation performance in Gaussian noise environments.

	%P 1454 - 1457