{"title":"Frequency Offset Estimation Schemes Based On ML for OFDM Systems in Non-Gaussian Noise Environments","authors":"Keunhong Chae, Seokho Yoon","volume":93,"journal":"International Journal of Electrical and Computer Engineering","pagesStart":1454,"pagesEnd":1458,"ISSN":"1307-6892","URL":"https:\/\/publications.waset.org\/pdf\/9999361","abstract":"
In this paper, frequency offset (FO) estimation schemes
\r\nrobust to the non-Gaussian noise environments are proposed for
\r\northogonal frequency division multiplexing (OFDM) systems. First,
\r\na maximum-likelihood (ML) estimation scheme in non-Gaussian
\r\nnoise environments is proposed, and then, the complexity of the
\r\nML estimation scheme is reduced by employing a reduced set of
\r\ncandidate values. In numerical results, it is demonstrated that the
\r\nproposed schemes provide a significant performance improvement
\r\nover the conventional estimation scheme in non-Gaussian noise
\r\nenvironments while maintaining the performance similar to the
\r\nestimation performance in 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] IEEE Std. 802.11h, Wireless LAN Medium Access Control (MAC) and\r\nPhysical Layer (PHY) Specification: Spectrum and Transmit Power\r\nManagement Extensions in the 5GHz Band in Europe, IEEE, 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] A. Awoseyila, C. Kasparis, and B.G. Evans, \"Robust time-domain\r\ntiming and frequency synchronization for OFDM systems,\u201d IEEE Trans.\r\nConsumer Electron., vol. 55, no. 2, pp. 391-399, May 2009.\r\n[5] 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[6] T. M. Schmidl and D. C. Cox, \"Robust frequency and timing\r\nsynchronization for OFDM,\u201d IEEE Trans. Commun., vol. 45, no. 12, pp.\r\n1613-1621, Dec. 1997.\r\n[7] M. Morelli and U. Mengali, \"An improved frequency offset estimator for\r\nOFDM applications,\u201d IEEE Commun. Lett., vol. 3, no. 3, pp. 75-77, Mar.\r\n1999.\r\n[8] J.-W. Choi, J. Lee, Q. Zhao, and H.-L. Lou, \"Joint ML estimation of\r\nframe timing and carrier frequency offset for OFDM systems employing\r\ntime-domain repeated preamble,\u201d IEEE Trans. Wireless Commun., vol. 9,\r\nno. 1, pp. 311-317, Jan. 2010.\r\n[9] 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[10] 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[11] C. L. Nikias and M. Shao, Signal Processing With Alpha-Stable\r\nDistributions and Applications, New York, NY: Wiley, 1995.\r\n[12] 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[13] J. Ilow and D. Hatzinakos, \"Impulsive noise modeling with stable\r\ndistributions in fading environments,\u201d Proc. IEEE Signal Process.\r\nWorkshop on Statistical Signal and Array Process., pp. 140-143, Corfu,\r\nGreece, June 1996.\r\n[14] 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[15] X. Ma and C. L. Nikias, \"Parameter estimation and blind channel\r\nidentification in impulsive signal environments,\u201d IEEE Trans. Signal\r\nProcess., vol. 43, no. 12, pp. 2884-2897, Dec. 1995.","publisher":"World Academy of Science, Engineering and Technology","index":"Open Science Index 93, 2014"}