Wavelet Transform Analytics for RF-Based UAV Detection and Identification System Using Machine Learning

no code implementations • 23 Feb 2021 • Olusiji Medaiyese, Martins Ezuma, Adrian P. Lauf, Ismail Guvenc

By using the wavelet scattering transform to extract signatures (scattergrams) from the steady state of the RF signals at 30 dB SNR, and using these scattergrams to train SqueezeNet, we achieved an accuracy of 98. 9% at 10 dB SNR.

BIG-bench Machine Learning