@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},
	}