Blind Frequency Offset Estimation Scheme based on ML Criterion for OFDM-based CR Systems in Non-Gaussian Noise 


Vol. 36,  No. 6, pp. 391-397, Jun.  2011


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  Abstract

This paper investigates the frequency offset (FO) 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.

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  Cite this article

[IEEE Style]

J. Kim, S. G. Kang, J. Baek, S. Yoon, "Blind Frequency Offset Estimation Scheme based on ML Criterion for OFDM-based CR Systems in Non-Gaussian Noise," The Journal of Korean Institute of Communications and Information Sciences, vol. 36, no. 6, pp. 391-397, 2011. DOI: .

[ACM Style]

Junhwan Kim, Seung Goo Kang, Jeehyeon Baek, and Seokho Yoon. 2011. Blind Frequency Offset Estimation Scheme based on ML Criterion for OFDM-based CR Systems in Non-Gaussian Noise. The Journal of Korean Institute of Communications and Information Sciences, 36, 6, (2011), 391-397. DOI: .

[KICS Style]

Junhwan Kim, Seung Goo Kang, Jeehyeon Baek, Seokho Yoon, "Blind Frequency Offset Estimation Scheme based on ML Criterion for OFDM-based CR Systems in Non-Gaussian Noise," The Journal of Korean Institute of Communications and Information Sciences, vol. 36, no. 6, pp. 391-397, 6. 2011.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880