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
Published: 2023
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