Adaptive window size and stepped frequency scan spectrogram analysis for drone signal detection in multi-signal environment
In this paper, a spectrogram based on stepped frequency scanning and adaptive window size algorithm is proposed to detect drone signals that operate at the 2.4 and 5.8 GHz Industrial, Scientific and Medical (ISM) bands in a multi-signal environment. In this algorithm, the received signal is divided...
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主要な著者: | Chia, Chun Choon, Sha’ameri, Ahmad Zuri |
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フォーマット: | 論文 |
出版事項: |
Science and Technology Research Institute for Defence
2020
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主題: | |
オンライン・アクセス: | http://eprints.utm.my/id/eprint/91311/ https://www.scopus.com/record/display.uri?eid=2-s2.0-85087093211&origin=resultslist&sort=plf-f&src=s&sid=9ce8c19095d83006900e26fe85d803d7&sot=b&sdt=b&sl=138&s= |
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