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http://dx.doi.org/10.7840/KICS.2011.36C.1.48

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

Song, Chong-Han (성균관대학교 정보통신공학부)
Lee, Young-Po (성균관대학교 정보통신공학부)
Song, Iic-Ho (한국과학기술원 전기및전자공학과)
Yoon, Seok-Ho (성균관대학교 정보통신공학부)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.36, no.1C, 2011 , pp. 48-56 More about this Journal
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.
Keywords
OFDM; CR; Frequency offset; Non-Gaussian; noise;
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