Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 31203
Frequency Offset Estimation Schemes Based On ML for OFDM Systems in Non-Gaussian Noise Environments

Authors: Keunhong Chae, Seokho Yoon

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.

Keywords: OFDM, frequency offset estimation, maximum-likelihood, training symbol, non-Gaussian noise environment

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1096005

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1627

References:


[1] R. V. Nee and R. Prasad, OFDM for Wireless Multimedia Communications, Boston, MA: Artech House, 2000.
[2] IEEE Std. 802.11h, Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specification: Spectrum and Transmit Power Management Extensions in the 5GHz Band in Europe, IEEE, 2003.
[3] M. Morelli, C.-C. J. Kuo, and M.-O. Pun, "Synchronization techniques for orthogonal frequency division multiple access (OFDMA): a tutorial review,” Proc. IEEE, vol. 95, no. 7, pp. 1394-1427, July 2007.
[4] A. Awoseyila, C. Kasparis, and B.G. Evans, "Robust time-domain timing and frequency synchronization for OFDM systems,” IEEE Trans. Consumer Electron., vol. 55, no. 2, pp. 391-399, May 2009.
[5] T. Hwang, C. Yang, G. Wu, S. Li, and G. Y. Li, "OFDM and its wireless applications: a survey,” IEEE Trans. Veh. Technol., vol. 58, no. 4, pp. 1673-1694, May 2009.
[6] T. M. Schmidl and D. C. Cox, "Robust frequency and timing synchronization for OFDM,” IEEE Trans. Commun., vol. 45, no. 12, pp. 1613-1621, Dec. 1997.
[7] M. Morelli and U. Mengali, "An improved frequency offset estimator for OFDM applications,” IEEE Commun. Lett., vol. 3, no. 3, pp. 75-77, Mar. 1999.
[8] J.-W. Choi, J. Lee, Q. Zhao, and H.-L. Lou, "Joint ML estimation of frame timing and carrier frequency offset for OFDM systems employing time-domain repeated preamble,” IEEE Trans. Wireless Commun., vol. 9, no. 1, pp. 311-317, Jan. 2010.
[9] T. K. Blankenship and T. S. Rappaport, "Characteristics of impulsive noise in the 450-MHz band in hospitals and clinics,” IEEE Trans. Antennas, Propagat., vol. 46, no. 2, pp. 194-203, Feb. 1998.
[10] P. Tor´ıo and M. G. S´anchez, "A study of the correlation between horizontal and vertical polarizations of impulsive noise in UHF,” IEEE Trans. Veh. Technol., vol. 56, no. 5, pp. 2844-2849, Sep. 2007.
[11] C. L. Nikias and M. Shao, Signal Processing With Alpha-Stable Distributions and Applications, New York, NY: Wiley, 1995.
[12] H. G. Kang, I. Song, S. Yoon, and Y. H. Kim, "A class of spectrum-sensing schemes for cognitive radio under impulsive noise circumstances: structure and performance in nonfading and fading environments,” IEEE Trans. Veh. Technol., vol. 59, no. 9, pp. 4322-4339, Nov. 2010.
[13] J. Ilow and D. Hatzinakos, "Impulsive noise modeling with stable distributions in fading environments,” Proc. IEEE Signal Process. Workshop on Statistical Signal and Array Process., pp. 140-143, Corfu, Greece, June 1996.
[14] T. C. Chuah, B. S. Sharif, and O. R. Hinton, "Nonlinear decorrelator for multiuser detection in non-Gaussian impulsive environments,” Electron. Lett., vol. 36, no. 10, pp. 920-922, May 2000.
[15] X. Ma and C. L. Nikias, "Parameter estimation and blind channel identification in impulsive signal environments,” IEEE Trans. Signal Process., vol. 43, no. 12, pp. 2884-2897, Dec. 1995.