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...
| मुख्य लेखक: | |
|---|---|
| स्वरूप: | थीसिस |
| भाषा: | अंग्रेज़ी |
| प्रकाशित: |
2023
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| विषय: | |
| ऑनलाइन पहुंच: | http://eprints.utm.my/102791/1/MuhammadTuryalaiKhanPSKE2023.pdf.pdf |