OFDM Frequency Offset Estimation Schemes Robust to the Non-Gaussian Noise 


Vol. 37,  No. 5, pp. 298-304, May  2012


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  Abstract

In this paper, we propose robust estimators for the frequency offset of orthogonal frequency division multiplexing in non-Gaussian noise environments. We first propose a maximum-likelihood (ML) estimator in non-Gaussian noise modeled as a complex isotropic Cauchy process, and then, we present a simpler suboptimal estimator based on the ML estimator. From numerical results, it is demonstrated that the proposed estimators not only outperform the conventional estimators, but also have a robustness in non-Gaussian noise environments.

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  Cite this article

[IEEE Style]

J. Park, C. Yu, S. Yoon, "OFDM Frequency Offset Estimation Schemes Robust to the Non-Gaussian Noise," The Journal of Korean Institute of Communications and Information Sciences, vol. 37, no. 5, pp. 298-304, 2012. DOI: .

[ACM Style]

Jonghun Park, Changha Yu, and Seokho Yoon. 2012. OFDM Frequency Offset Estimation Schemes Robust to the Non-Gaussian Noise. The Journal of Korean Institute of Communications and Information Sciences, 37, 5, (2012), 298-304. DOI: .

[KICS Style]

Jonghun Park, Changha Yu, Seokho Yoon, "OFDM Frequency Offset Estimation Schemes Robust to the Non-Gaussian Noise," The Journal of Korean Institute of Communications and Information Sciences, vol. 37, no. 5, pp. 298-304, 5. 2012.