Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 30526
ML-Based Blind Frequency Offset Estimation Schemes for OFDM Systems in Non-Gaussian Noise Environments

Authors: Seokho Yoon, Keunhong Chae

Abstract:

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.

Keywords: OFDM, maximum-likelihood, frequency offset, cyclic prefix, non-Gaussian noise

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1093144

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1595

References:


[1] R. V. Nee and R. Prasad, OFDM for Wireless Multimedia Communications. Boston, MA: Artech House, 2000.
[2] Part 11: Wireless LAN medium access control (MAC) and physical layer (PHY) specification: spectrum and transmit power management extensions in the 5GHz band in Europe, IEEE, 802.11h, 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] 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.
[5] J.-J. Beek, M. Sandell, and P. O. Borjesson, "ML estimation of time and frequency offset in OFDM systems,” IEEE Trans. Sig. Process., vol. 45, no. 7, pp. 1800-1805, July 1997.
[6] 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.
[7] 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.
[8] C. L. Nikias and M. Shao, Signal Processing With Alpha-Stable Distributions and Applications. New York, NY: Wiley, 1995.
[9] 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.
[10] 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.
[11] X. Ma and C. L. Nikias, "Parameter estimation and blind channel identification in impulsive signal environments,” IEEE Trans. Sig. Process., vol. 43, no. 12, pp. 2884-2897, Dec. 1995.