Advanced SearchSearch Tips
Blind Frequency Offset Estimation Scheme based on ML Criterion for OFDM-based CR Systems in Non-Gaussian Noise
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
Blind Frequency Offset Estimation Scheme based on ML Criterion for OFDM-based CR Systems in Non-Gaussian Noise
Kim, Jun-Hwan; Kang, Seung-Goo; Baek, Jee-Hyeon; Yoon, Seok-Ho;
  PDF(new window)
This paper investigates the frequency offset (PO) estimation scheme for the orthogonal frequency division multiplexing (OFDM)-based cognitive radio (CR) systems. In the CR environments, the conventional FO estimation schemes for the OFDM systems experience significant performance degradation due to the effect of the non-Gaussian noise. In this paper, a novel FO estimation scheme based on the maximum likelihood criterion is proposed for the OFDM-based CR systems in non-Gaussian noise environments. The proposed scheme does not require a specific pilot structure and has a better estimation performance compared with that of the conventional scheme.
Carrier Frequency Offset;CR;ML;Non-Gaussian;OFDM;
 Cited by
S. Haykin, "Cognitive radio: brain-empowered wireless communications," IEEE J. Select. Areas Commun., Vol.23, No.2, pp.201-220, Feb., 2005. crossref(new window)

H. Mahmoud, T. Yucek, and H. Arslan, "OFDM for cognitive radio: merits and challenges," IEEE Wireless Commun., Vol.16, No.2, pp.6-15, Apr., 2009.

R. V. Nee and R. Prasad, OFDM for Wireless Multimedia Communications. London, England: Artech House, 2000.

K. Fazel and S. Kaiser, Multi-Carrier and Spread Spectrum Systems. West Sussex, England: John Wiley and Sons, 2003.

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. crossref(new window)

J.-J. van de Beek, M. Sandell, and P. O. Börjesson, "ML estimation of time and frequency offset in OFDM systems," IEEE Trans. Sig. Process., Vol.45, No.7, pp.1800-1805, July 1997. crossref(new window)

F. Moghimi, A. Nasri, and R. Schober, "Lp-norm spectrum sensing for cognitive radio networks impaired by non-Gaussian noise," in Proc. IEEE Global Telecommun. Confer. (Globecom), Honolulu, HI, pp.1-6, Nov., 2009.

K. L. Blackard, T. S. Rappaport, and C. W. Bostian, "Measurements and models of radio frequency impulsive noise for indoor wireless communications," IEEE J. Select. Areas Commun., Vol.11, No.7, pp.991-1001, Sep., 1993. crossref(new window)

M. G. Sanchez, L. de Haro, M. C. Ramon, A. Mansilla, C. M. Ortega, and D. Oliver, "Impulsive noise measurements and characterization in a UHF digital TV channel," IEEE Trans. Electromagn. Compat., Vol.41, No.2, pp. 124-136, May 1999. crossref(new window)

G. Samorodnitsky and M. S. Taqqu, Stable Non-Gaussian Random Processes: Stochastic Models with Infinite Variance. New York: Chapman & Hall, 1994.

C. L. Nikias and M. Shao, Signal Processing With ${\alpha}$-Stable Distributions and Applications. New York: Wiley, 1995.

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. crossref(new window)

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. crossref(new window)