상세정보
학술대회
Performance Analysis and Disaster Signal Detection Method based on Deep Learning using SDR Platform
- 발행일
- 202010
- 출처
- International Conference on Information and Communication Technology Convergence (ICTC) 2020, pp.1396-1398
- 협약과제
- 20HH4400, 재난피해 저감을 위한 지상파 UHD기반 재난방송 서비스, 배병준
- 초록
- Deep learning technology is actively studied in forecasting natural disasters such as earthquakes or typhoons and weather forecasts such as rainfall. However, it is also important to receive a disaster alert to expedite the initial response using deep learning technology. Therefore, in this paper, the deep learning-based proposed method is applied to the real ATSC 3.0 RF signal using the Software Defined Radio (SDR) platform and the performance is analyzed.
- KSP 제안 키워드
- ATSC 3.0, Detection Method, Disaster alert, Learning-based, Natural disaster, Performance analysis, RF signal, SDR Platform, Software Defined Radio(SDR), Weather Forecast, deep learning(DL)