융합정보논문지 (Journal of Convergence for Information Technology)

중소기업융합학회 (Convergence Society for SMB)
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스트리밍 처리에 의한 레이더 신호 특성 추출

Feature Extraction of Radar Signals Using Streaming Process

  • 김관태 ((주)빅텍 기술연구소) ;
  • 주영관 (충북대학교 소프트웨어학과) ;
  • 전중남 (충북대학교 소프트웨어학과)
  • Kim, Gwan-Tae (Division of Technology-Research, VICTEK) ;
  • Ju, Young-Kwan (Department of Computer Science, Chungbuk National University) ;
  • Jeon, Joongnam (Department of Computer Science, Chungbuk National University)
  • 투고 : 2020.11.10
  • 심사 : 2020.12.20
  • 발행 : 2020.12.28
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초록

전자전의 레이더 신호식별은 신호수신기가 생성한 PDW(Pule Description Word)를 분석해서 펄스반복 간격(PRI, Pulse Repetition Interval)을 인식하는 기술이다. 일반적으로 여러 개의 PDW를 수집해 한 번에 처리하는 배치처리 방식으로 PRI를 식별한다. 본 논문에서는 스트리밍 프로세스에 기초한 신호 특성 추출 알고리즘을 제안한다. 이 기술은 신호수신기에서 PDW를 생성할 때마다 PDW 군집이 형성되는지 조사하고, 레이더 펄스의 도착시간 차이(difference of TOA(Time of Arrival)) 히스토그램을 만들고, 집중도를 기반으로 프레임 PRI를 구하고, 스태거 단계 수를 결정한다. 실험에 의하여 군집의 크기가 증가함에 따라 안정된 인식 결과를 도출한다는 것을 입증했다.

Radar signal identification of electronic warfare is a technology that recognizes the pulse repetition interval (PRI) from a set of pulse description words (PDWs) generated by the signal receiver. Conventionally batch processing is widely used in which a number of PDWs are collected as a unit and identifies PRI from the batch. In this paper, we propose a feature extraction algorithm based on the streaming process. This technique does not wait to form a batch. Whenever a PDW(Pulse Description Word) is generated from the signal receiver, the streaming process tries to form a cluster of PDWs, and makes the DTOA (Difference of Time of Arrival) histogram, finds out the frame PRI based on the concentration ratio, and decides the number of stagger stages. Experiments proved that the proposed algorithm derives stable recognition results as the cluster size increases.

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참고문헌

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