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Conference Paper
Performance Analysis and Disaster Signal Detection Method based on Deep Learning using SDR Platform
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- Authors
- Jin-Hyuk Song, Sang-Jung Ra, Byung-Jun Bae
- Issue Date
- 2020-10
- Citation
- International Conference on Information and Communication Technology Convergence (ICTC) 2020, pp.1396-1398
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- Abstract
- 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 Keywords
- ATSC 3.0, Detection Method, Disaster alert, Learning Technology, Learning-based, Natural Disaster, Performance analysis, RF signal, SDR Platform, Software Defined Radio(SDR), Weather Forecast