{"references": ["R. V. Nee and R. Prasad, OFDM for Wireless Multimedia\nCommunications. Boston, MA: Artech House, 2000.", "Part 11: Wireless LAN medium access control (MAC) and physical\nlayer (PHY) specification: spectrum and transmit power management\nextensions in the 5GHz band in Europe, IEEE, 802.11h, 2003.", "M. Morelli, C.-C. J. Kuo, and M.-O. Pun, \"Synchronization techniques\nfor orthogonal frequency division multiple access (OFDMA): a tutorial\nreview,\" Proc. IEEE, vol. 95, no. 7, pp. 1394-1427, July 2007.", "T. Hwang, C. Yang, G. Wu, S. Li, and G. Y. Li, \"OFDM and its wireless\napplications: a survey,\" IEEE Trans. Veh. Technol., vol. 58, no. 4, pp.\n1673-1694, May 2009.", "J.-J. Beek, M. Sandell, and P. O. Borjesson, \"ML estimation of time and\nfrequency offset in OFDM systems,\" IEEE Trans. Sig. Process., vol. 45,\nno. 7, pp. 1800-1805, July 1997.", "T. K. Blankenship and T. S. Rappaport, \"Characteristics of impulsive\nnoise in the 450-MHz band in hospitals and clinics,\" IEEE Trans.\nAntennas, Propagat., vol. 46, no. 2, pp. 194-203, Feb. 1998.", "P. Tor\u00b4\u0131o and M. G. S\u00b4anchez, \"A study of the correlation between\nhorizontal and vertical polarizations of impulsive noise in UHF,\" IEEE\nTrans. Veh. Technol., vol. 56, no. 5, pp. 2844-2849, Sep. 2007.", "C. L. Nikias and M. Shao, Signal Processing With Alpha-Stable\nDistributions and Applications. New York, NY: Wiley, 1995.", "H. G. Kang, I. Song, S. Yoon, and Y. H. Kim, \"A class of\nspectrum-sensing schemes for cognitive radio under impulsive noise\ncircumstances: structure and performance in nonfading and fading\nenvironments,\" IEEE Trans. Veh. Technol., vol. 59, no. 9, pp. 4322-4339,\nNov. 2010.\n[10] T. C. Chuah, B. S. Sharif, and O. R. Hinton, \"Nonlinear decorrelator for\nmultiuser detection in non-Gaussian impulsive environments,\" Electron.\nLett., vol. 36, no. 10, pp. 920-922, May 2000.\n[11] X. Ma and C. L. Nikias, \"Parameter estimation and blind channel\nidentification in impulsive signal environments,\" IEEE Trans. Sig.\nProcess., vol. 43, no. 12, pp. 2884-2897, Dec. 1995."]}

This paper proposes frequency offset (FO) estimation schemes robust to the non-Gaussian noise for orthogonal frequency division multiplexing (OFDM) systems. A maximum-likelihood (ML) scheme and a low-complexity estimation scheme are proposed by applying the probability density function of the cyclic prefix of OFDM symbols to the ML criterion. From simulation results, it is confirmed that the proposed schemes offer a significant FO estimation performance improvement over the conventional estimation scheme in non-Gaussian noise environments.