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머신러닝 기반 단일 반송파 신호 이상치 탐지
Single Carrier Anomaly Detection Based on Machine Learning
- 최윤철;
- 장민규;
- 윤동원
초록
In non-cooperative context, machine learning based automatic modulation classification(AMC) research has beenconducted to recover information from a received signal. It is necessary to develop anomaly detection algorithmbecause machine learning based AMC outputs incorrect result when an abnormal data is received as input. In thispaper, we propose loss function for machine learning based anomaly detection and analyze its performance throughsimulations.
키워드
machine learning; anomaly detection; noncooperative context; loss function
- 제목
- 머신러닝 기반 단일 반송파 신호 이상치 탐지
- 제목 (타언어)
- Single Carrier Anomaly Detection Based on Machine Learning
- 저자
- 최윤철; 장민규; 윤동원
- 발행일
- 2022-12
- 유형
- Proceeding
- 저널명
- 한국정보기술학회 추계 종합학술대회 논문집
- 페이지
- 185 ~ 186