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

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
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ELINT Intra-pulse Modulation Recognition using Fuzzy Algorithm

퍼지 알고리즘을 이용한 전자정보의 펄스 내 변조 인식

  • Received : 2013.07.17
  • Accepted : 2013.09.06
  • Published : 2013.09.30
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Abstract

The ELINT system which derives intelligence from electromagnetic radiations plays an important role in modern electric warfares. Among radar characteristics inferred from the signals, intra-pulse modulation scheme is a useful feature to identify modern radars. This paper proposes the method to classify intra-pulse modulation schemes such as UM, PSK, BFSK, QFSK, LFM and NLFM based on the fuzzy algorithm. The proposed method defines fuzzy membership functions to characterize input signals, and then it calculates accordance rates for each modulation scheme with fuzzy inference rules. The experimental results show that the probability of correct recognition is more than 95% for SNR > 10dB.

수집된 전자 정보 신호를 분석하여 활동 중인 레이더를 식별하는 ELINT 시스템은 현대 전자전에서 매우 중요한 역할을 담당한다. 수집된 신호로부터 추출할 수 있는 여러 레이더 운용 변수 중 펄스 내 변조 방식은 점점 고도화되는 레이더의 식별에 필수적인 정보이다. 본 논문은 퍼지 알고리즘을 이용하여 수집 신호에 적용된 펄스 내 변조 방식을 인식하는 기법을 제안한다. 제안하는 기법은 신호를 특징짓기 위한 퍼지 멤버십 함수와 이를 이용하여 적용된 변조방식을 추론하기 위한 퍼지 추론 규칙을 정의한다. 실험 결과는 제안된 기법이 SNR 10dB 이상의 수집 환경 하에서 95% 이상의 변조 방식 인식률을 보장함을 보인다.

Keywords

References

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