클라우드 데이터 처리 방식을 통한 국가 주요시설에서의 GNSS 재밍 모니터링 실측 실험
Experimental Field Test of GNSS Jamming Signal Monitoring Based on Cloud Data Processing Technique at National Infra-Facilities
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참고문헌
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초록
GNSS 신호를 이용하여 서비스를 제공하는 국가기반 시설이 재밍의 영향을 받는다면 막대한 피해가 발생할 것으로 예상된다. 이를 방지하고자 적절한 방법으로 재밍신호의 발생 감지, 종류판별 및 재밍원 위치추정을 수행하는 범국가적인 GNSS 재밍 모니터링 네트워크 구성이필요하다. 본 논문에서는 GNSS 신호를 사용하는 자율주행 차량의 테스트베드인 K-시티와 인천 국제 공항에서 GNSS 재밍 신호의 존재 여부 및 종류를 확인하고자 실측실험을 통하여 재밍신호 환경을 확인하는 지표로 2-D 이미지를 생성하고, 분석을 통하여 재밍신호 발생 감지, 종류 판별 및 재밍신호 세기 추정을 수행한다. 그 결과, K-시티에서 L2대역
Abstract
Incalculable damage will be incurred if the national infrastructure that provides services using GNSS signals is affected by jamming signals. To prevent this, a nationwide GNSS jamming monitoring network is necessary to detect the occurrence of a jamming signal, determine the type, and properly localize the jammer position. In this paper, 2-D images for live GNSS signals were generated to verify the environment of the jamming signals through the presence and type of GNSS jamming signals at K-City, which are the test beds for self-driving vehicles, and Incheon International Airport. The analysis was also conducted to detect the occurrence of the jamming signals, determine the type, and measure the jamming signal strength. As a result, a CWI type of jamming signal was detected in L2 band at K-City and in L5 band at Incheon International Airport.
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