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...
| 主要作者: | |
|---|---|
| 格式: | Thesis |
| 語言: | 英语 |
| 出版: |
2023
|
| 主題: | |
| 在線閱讀: | http://eprints.utm.my/102791/1/MuhammadTuryalaiKhanPSKE2023.pdf.pdf |