Frequency Offset Estimation for OFDM-based Cognitive Radio Systems in Non-Gaussian Impulsive Channels 


Vol. 36,  No. 1, pp. 48-56, Jan.  2011


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  Abstract

Cognitive radio (CR) systems have received significant interest as a promising solution to the spectral shortage problem through efficient use of the frequency spectrum by opportunistically exploiting unlicensed frequency bands. Orthogonal frequency division multiplexing (OFDM) is widely regarded as a highly promising candidate for CR systems. However, the frequency bands used by CR systems are expected to suffer from non-Gaussian noise, which considerably degrades the performance of the conventional OFDM carrier frequency offset (CFO) estimation schemes. In this paper, robust CFO estimation schemes for OFDM-based CR systems in non-Gaussian channels are proposed. Simulation results demonstrate that the proposed estimators offer robustness and substantial performance improvement over the conventional estimator.

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  Cite this article

[IEEE Style]

C. Song, Y. Lee, I. Song, S. Yoon, "Frequency Offset Estimation for OFDM-based Cognitive Radio Systems in Non-Gaussian Impulsive Channels," The Journal of Korean Institute of Communications and Information Sciences, vol. 36, no. 1, pp. 48-56, 2011. DOI: .

[ACM Style]

Chonghan Song, Youngpo Lee, Iickho Song, and Seokho Yoon. 2011. Frequency Offset Estimation for OFDM-based Cognitive Radio Systems in Non-Gaussian Impulsive Channels. The Journal of Korean Institute of Communications and Information Sciences, 36, 1, (2011), 48-56. DOI: .

[KICS Style]

Chonghan Song, Youngpo Lee, Iickho Song, Seokho Yoon, "Frequency Offset Estimation for OFDM-based Cognitive Radio Systems in Non-Gaussian Impulsive Channels," The Journal of Korean Institute of Communications and Information Sciences, vol. 36, no. 1, pp. 48-56, 1. 2011.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880