Journal of the Korea Institute of Information and Communication Engineering (한국정보통신학회논문지)

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
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Mitigation of Impulse Noise Using Slew Rate Limiter in Oversampled Signal for Power Line Communication

전력선 통신에서 오버 샘플링과 Slew Rate 제한을 이용한 임펄스 잡음 제거 기법

  • Oh, Woojin (School of Electronics, Kumoh National Institute of Technology) ;
  • Natarajan, Bala (Department of Electrical and Computer Engineering, Kansas State Univ.)
  • Received : 2019.02.08
  • Accepted : 2019.02.26
  • Published : 2019.04.30
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Abstract

PLC(Power Line Communication) is being used in various ways in smart grid system because of the advantages of low cost and high data throughput. However, power line channel has many problems due to impulse noise and various studies have been conducted to solve the problem. Recently, ACDL(Adaptive Cannonical Differential Limiter) which is based on an adaptive clipping with analog nonlinear filter, has been proposed and performs better than the others. In this paper, we show that ACDL is similar to the detection of slew rate with oversampled digital signal by simplification and analysis. Through the simulation under the PRIME standard it is shown that the proposed performs equal to or better than that of ACDL, but significantly reduce the complexity to implement. The BER performance is equal but the complexity is reduced to less than 10%.

전력선 통신(PLC: Power Line Communication)은 저비용으로 고속 전송이 가능하여 스마트 그리드와 연계하여 다양하게 활용되고 있다. 그러나 전력선 채널은 임펄스 잡음으로 인하여 많은 문제가 있어 이를 해결하기 위하여 다양한 연구가 진행되어 왔다. 최근에는 아날로그 신호에 대한 비선형 필터에 적응형 clippling을 사용하는 ACDL(Adaptive Cannonical Differential Limiter)이 제안되었다. 본 논문에서는 이의 특성을 분석하고 간략화하여 오버샘플링된 디지털신호에 대해 slew rate를 검출하는 방안과 유사함을 보였다. 제안된 방식은 모의 실험으로 PRIME 표준에서 성능을 검증하여 ACDL과 동일 수준 이상의 성능을 가지면서도 훨씬 간단히 구현이 가능한 장점을 확인하였다. BER 성능은 동등하면서도 복잡도는 10%이하로 줄어든다.

Keywords

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Fig. 1 Block diagram of typical PLC system with ACDL [7]

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Fig. 2 Structure of ACDL [7]

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Fig. 3 Signals with the sampling rate of (a) 2fBW (b) SfBW

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Fig. 5 Block diagram of the proposed algorithm

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Fig. 4 Slew rate of SIR=20dB when Eb/N0 is (a) 0dB (b) 10dB.

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Fig. 6 Example of periodic cyclostationary noise and asynchronous impulsive noise

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Fig. 7 BER performance under impulsive and periodic impulse noise of (a) SIR=0dB, (b) 5dB, and (c) 10dB

References

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