{"title":"ML-Based Blind Frequency Offset Estimation Schemes for OFDM Systems in Non-Gaussian Noise Environments","authors":"Keunhong Chae, Seokho Yoon","volume":90,"journal":"International Journal of Electronics and Communication Engineering","pagesStart":860,"pagesEnd":863,"ISSN":"1307-6892","URL":"https:\/\/publications.waset.org\/pdf\/9998481","abstract":"
This paper proposes frequency offset (FO) estimation
\r\nschemes robust to the non-Gaussian noise for orthogonal frequency
\r\ndivision multiplexing (OFDM) systems. A maximum-likelihood (ML)
\r\nscheme and a low-complexity estimation scheme are proposed by
\r\napplying the probability density function of the cyclic prefix of
\r\nOFDM symbols to the ML criterion. From simulation results, it is
\r\nconfirmed that the proposed schemes offer a significant FO estimation
\r\nperformance improvement over the conventional estimation scheme
\r\nin non-Gaussian noise environments.<\/p>\r\n","references":"[1] R. V. Nee and R. Prasad, OFDM for Wireless Multimedia\r\nCommunications. Boston, MA: Artech House, 2000.\r\n[2] Part 11: Wireless LAN medium access control (MAC) and physical\r\nlayer (PHY) specification: spectrum and transmit power management\r\nextensions in the 5GHz band in Europe, IEEE, 802.11h, 2003.\r\n[3] M. Morelli, C.-C. J. Kuo, and M.-O. Pun, \"Synchronization techniques\r\nfor orthogonal frequency division multiple access (OFDMA): a tutorial\r\nreview,\u201d Proc. IEEE, vol. 95, no. 7, pp. 1394-1427, July 2007.\r\n[4] T. Hwang, C. Yang, G. Wu, S. Li, and G. Y. Li, \"OFDM and its wireless\r\napplications: a survey,\u201d IEEE Trans. Veh. Technol., vol. 58, no. 4, pp.\r\n1673-1694, May 2009.\r\n[5] J.-J. Beek, M. Sandell, and P. O. Borjesson, \"ML estimation of time and\r\nfrequency offset in OFDM systems,\u201d IEEE Trans. Sig. Process., vol. 45,\r\nno. 7, pp. 1800-1805, July 1997.\r\n[6] T. K. Blankenship and T. S. Rappaport, \"Characteristics of impulsive\r\nnoise in the 450-MHz band in hospitals and clinics,\u201d IEEE Trans.\r\nAntennas, Propagat., vol. 46, no. 2, pp. 194-203, Feb. 1998.\r\n[7] P. Tor\u00b4\u0131o and M. G. S\u00b4anchez, \"A study of the correlation between\r\nhorizontal and vertical polarizations of impulsive noise in UHF,\u201d IEEE\r\nTrans. Veh. Technol., vol. 56, no. 5, pp. 2844-2849, Sep. 2007.\r\n[8] C. L. Nikias and M. Shao, Signal Processing With Alpha-Stable\r\nDistributions and Applications. New York, NY: Wiley, 1995.\r\n[9] H. G. Kang, I. Song, S. Yoon, and Y. H. Kim, \"A class of\r\nspectrum-sensing schemes for cognitive radio under impulsive noise\r\ncircumstances: structure and performance in nonfading and fading\r\nenvironments,\u201d IEEE Trans. Veh. Technol., vol. 59, no. 9, pp. 4322-4339,\r\nNov. 2010.\r\n[10] T. C. Chuah, B. S. Sharif, and O. R. Hinton, \"Nonlinear decorrelator for\r\nmultiuser detection in non-Gaussian impulsive environments,\u201d Electron.\r\nLett., vol. 36, no. 10, pp. 920-922, May 2000.\r\n[11] X. Ma and C. L. Nikias, \"Parameter estimation and blind channel\r\nidentification in impulsive signal environments,\u201d IEEE Trans. Sig.\r\nProcess., vol. 43, no. 12, pp. 2884-2897, Dec. 1995.","publisher":"World Academy of Science, Engineering and Technology","index":"Open Science Index 90, 2014"}