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http://dx.doi.org/10.7840/KICS.2011.36C.6.391

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

Kim, Jun-Hwan (성균관대학교 정보통신공학부)
Kang, Seung-Goo (성균관대학교 정보통신공학부)
Baek, Jee-Hyeon (건국대학교 정보통신공학부)
Yoon, Seok-Ho (성균관대학교 정보통신공학부)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.36, no.6C, 2011 , pp. 391-397 More about this Journal
Abstract
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.
Keywords
Carrier Frequency Offset; CR; ML; Non-Gaussian; OFDM;
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