Keunhong Chae and Seokho Yoon
Frequency Offset Estimation Schemes Based On ML for OFDM Systems in NonGaussian Noise Environments
1454 - 1457
2014
8
9
International Journal of Electrical and Computer Engineering
https://publications.waset.org/pdf/9999361
https://publications.waset.org/vol/93
World Academy of Science, Engineering and Technology
In this paper, frequency offset (FO) estimation schemes
robust to the nonGaussian noise environments are proposed for
orthogonal frequency division multiplexing (OFDM) systems. First,
a maximumlikelihood (ML) estimation scheme in nonGaussian
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 nonGaussian noise
environments while maintaining the performance similar to the
estimation performance in Gaussian noise environments.
Open Science Index 93, 2014