The Journal of Korean Institute of Communications and Information Sciences (한국통신학회논문지)

The Korean Institute of Commucations and Information Sciences (한국통신학회)
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OFDM Frequency Offset Estimation Schemes Robust to the Non-Gaussian Noise

비정규 잡음에 강인한 OFDM 주파수 옵셋 추정 기법

  • 박종훈 (삼성탈레스) ;
  • 유창하 (성균관대학교 정보통신대학 전자전기공학부) ;
  • 윤석호 (성균관대학교 정보통신대학 전자전기공학부)
  • Received : 2012.01.05
  • Accepted : 2012.03.30
  • Published : 2012.05.30
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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.

본 논문에서는 비정규 잡음 환경에서 orthogonal frequency division multiplexing 시스템의 주파수 옵셋을 신뢰성 있게 추정하는 기법들을 제안한다. 먼저 비정규 잡음을 복소 등방성 Cauchy 확률과정으로 모형화한 후 최대우도 (maximum-likelihood) 추정 기법을 제안하고, 또한 더 간단한 최대우도 추정 기반 준최적 추정 기법을 제안한다. 모의실험 결과를 통해 제안한 기법들이 기존의 기법들에 비해 비정규 잡음 환경에서 더 좋은 주파수 옵셋 추정 성능을 가질 뿐 아니라, 비정규 잡음 환경에서 강인함을 보인다.

Keywords

Acknowledgement

Supported by : 한국연구재단, 정보통신산업진흥원, 삼성탈레스(주)

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