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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Bibliographic Details

Main Author:	Khan, Muhammad Turyalai
Format:	Thesis
Language:	English
Published:	2023
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/102791/1/MuhammadTuryalaiKhanPSKE2023.pdf.pdf