Simulating drone micro-‘Doppler-gangers’
“A new simulation methodology for generating accurate drone micro-Doppler with experimental validation” by authors Matthew Moore, Duncan Roberston and Samiur Rahman has been published by IET Radar, Sonar & Navigation. The paper details the development of a novel drone micro-Doppler simulation methodology and its experimental validation.
(Top) A simulated spectrogram from a DJI Phantom 3 for various elevation angles with the corresponding experimentally measured data (bottom)
(Top) A simulated spectrogram from a DJI Phantom 3 for various elevation angles with the corresponding experimentally measured data (bottom)
The simulation developed by PhD student Matthew Moore generates the high fidelity micro-Doppler information from differently shaped drone propellers at 94 GHz. At this frequency, the micro-Doppler spectra from different drone models are unique, and therefore can be used as a signature of the specific model. The aim of this work is to increase understanding of millimetre wave micro-Doppler features of drones and to develop an approach by which the datasets needed to train classification algorithms can be generated synthetically.
The paper can be found at IET RSN here.