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A Reduction Scheme of Impulse and Clipping Noises Based on Compressed Sensing for OFDM Communication Systems

직교주파수분할다중화 통신 시스템을 위한 압축 센싱 기반 임펄스 잡음 및 클리핑 잡음 감쇄 기법

  • Seo, Young-Hun (Incheon National University, Department of Embedded System Engineering) ;
  • Choi, Byoung-Jo (Incheon National University, Department of Embedded System Engineering)
  • Received : 2016.11.04
  • Accepted : 2016.11.28
  • Published : 2016.12.31

Abstract

A compressive sensing based iterative scheme for reducing both the impulsive noise as well as the clipping noise is proposed for OFDM-based communication systems. Nonlinear blanking using adaptive thresholds is used in the 1st stage followed by two consecutive compressive sensing based detection with the aid of decision feedback for reducing the BER gradually. Our simulation results revealed an SNR gain of 4.5dB at the BER of $10^{-5}$.

OFDM 기반 통신시스템에서 압축 센싱을 단계적으로 적용하여 임펄스 잡음과 클리핑 잡음을 제거하는 방법을 제안한다. 이 방법은 1단계로 적응적 임계값을 적용한 블랭킹 기법을, 2단계 및 3단계에서 압축 센싱 기법을 반복적으로 적용하며 판정 궤환을 통해 비트 오율을 점차 감소시킨다. 임펄스 잡음 채널에서 모의실험결과 비트 오율이 $10^{-5}$일 때 4.5dB의 SNR 이득을 얻을 수 있었다.

Keywords

References

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