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

The Korean Institute of Commucations and Information Sciences (한국통신학회)
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Study on Hidden Period Estimation in Propeller Noise by Applying Compressed Sensing to Auto-Correlation and Filter-Bank Structure

압축 센싱 기법을 자기상관 필터뱅크 방식에 적용한 광대역 프로펠러 소음 추정 기법 연구

  • Lim, Jun-Seok (Sejong University Department of Electronic Engineering) ;
  • Pyeon, Yong-Guk (Gangwon Provincial University Department of Information and Communication) ;
  • Hong, Woo-Young (Sejong University Department of Defense System Engineering)
  • Received : 2015.08.17
  • Accepted : 2015.11.16
  • Published : 2015.12.30
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Abstract

Narrow band signal estimation and broad band signal estimation can be used to detect the ship-radiated noise. The broad band signal estimation method to detect the ship-radiated noise is called DEMON (Detection of Envelop Modulation On Noise). This paper proposes a new DEMON algorithm applying compressed sensing algorithm to filter bank and autocorrelation. We show the proposed algorithm estimates the hidden period in the wide band signal better than the conventional DEMON algorithm and the recently proposed filter-bank based DEMON algorithm. Especially we show that the proposed algorithm needs shorter data length than the conventional DEMON algorithm.

배의 방사 소음을 이용하여 배를 탐지하는 데는 협대역 톤을 추정하는 방법과 광대역 신호에 내포된 주기성 신호를 추정하는 방법이 있다. 그 중에서 광대역 신호에 내포된 주기성 신호를 추정하는 방법을 데몬 신호 처리법이라고 한다. 본 논문에서는 데몬 처리를 위해서 압출 센싱 기법을 자기 상관기 필터 뱅크에 적용한 기법을 제안한다. 그리고 합성된 신호와 실제 신호를 바탕으로 기존 방법들과 비교하여 기본 주파수 신호를 우수하게 추정할 뿐만 아니라 기존 방법에 비해서 짧은 신호 길이를 사용해도 우수한 성분 추정 성능을 할 수 있음을 보인다.

Keywords

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