나이브 베이지안 네트워크를 이용한 채프에코 탐지 및 제거 방법

Chaff Echo Detecting and Removing Method using Naive Bayesian Network

  • 이한수 (부산대학교 전자전기컴퓨터공학과) ;
  • 유정원 (부산대학교 전자전기컴퓨터공학과) ;
  • 박지철 (부산대학교 전자전기컴퓨터공학과) ;
  • 김성신 (부산대학교 전자전기컴퓨터공학과)
  • Lee, Hansoo (Department of Electrical and Computer Engineering, Pusan National University) ;
  • Yu, Jungwon (Department of Electrical and Computer Engineering, Pusan National University) ;
  • Park, Jichul (Department of Electrical and Computer Engineering, Pusan National University) ;
  • Kim, Sungshin (Department of Electrical and Computer Engineering, Pusan National University)
  • 투고 : 2013.04.12
  • 심사 : 2013.09.02
  • 발행 : 2013.10.01


Chaff is a kind of matter spreading atmosphere with the purpose of preventing aircraft from detecting by radar. The chaff is commonly composed of small aluminum pieces, metallized glass fiber, or other lightweight strips which consists of reflecting materials. The chaff usually appears on the radar images as narrow bands shape of highly reflective echoes. And the chaff echo has similar characteristics to precipitation echo, and it interrupts weather forecasting process and makes forecasting accuracy low. In this paper, the chaff echo recognizing and removing method is suggested using Bayesian network. After converting coordinates from spherical to Cartesian in UF (Universal Format) radar data file, the characteristics of echoes are extracted by spatial and temporal clustering. And using the data, as a result of spatial and temporal clustering, a classification process for analyzing is performed. Finally, the inference system using Bayesian network is applied. As a result of experiments with actual radar data in real chaff echo appearing case, it is confirmed that Bayesian network can distinguish between chaff echo and non-chaff echo.


연구 과제 주관 기관 : 한국연구재단


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피인용 문헌

  1. A Study on Chaff Echo Detection using AdaBoost Algorithm and Radar Data vol.23, pp.6, 2013,