Machine learning classification of frequency-hopping spread spectrum signals in a multi-signal environment
Frequency-hopping spread spectrum (FHSS) spreads the signal over a wide bandwidth, where the carrier frequencies change rapidly according to a pseudorandom number making signal classification difficult. Classification becomes more complex with the presence of additive white Gaussian noise (AWGN) and...
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| 第一著者: | |
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| フォーマット: | 学位論文 |
| 言語: | English |
| 出版事項: |
2023
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| 主題: | |
| オンライン･アクセス: | http://eprints.utm.my/id/eprint/102791/1/MuhammadTuryalaiKhanPSKE2023.pdf.pdf http://eprints.utm.my/id/eprint/102791/ http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:152244 |
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