@article{(Open Science Index):https://publications.waset.org/pdf/9999361, title = {Frequency Offset Estimation Schemes Based On ML for OFDM Systems in Non-Gaussian Noise Environments}, author = {Keunhong Chae and Seokho Yoon}, country = {}, institution = {}, abstract = {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. }, journal = {International Journal of Electrical and Computer Engineering}, volume = {8}, number = {9}, year = {2014}, pages = {1454 - 1457}, ee = {https://publications.waset.org/pdf/9999361}, url = {https://publications.waset.org/vol/93}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 93, 2014}, }