Deep Learning-based identification of human gait by radar micro-Doppler measurements

For the first time identification of human individuals using micro-Doppler (m-D) features measured at X-band has been demonstrated. Deep Convolutional Neural Networks (DCNNs) have been used to perform classification. Inspection and visualization of the classification results were performed using Uniform Manifold Approximation and Projection ...

Simulation of Radar Micro-Doppler Patterns for Multi-Propeller Drones

This paper presents a thin-wire electromagnetic (EM) model of multi-propeller drone that generates drone micro-Doppler pattern efficiently as a function of radar parameters and propeller properties. Experimental results of propeller micro-Doppler pattern measured in anechoic chamber was investigated and used to validate the results produced...

Radar micro-Doppler of wind turbines: Simulation and analysis using rotating linear wire structures

A simple electromagnetic model of wind-turbine's main structural elements as the linear wired structures is developed to simulate the temporal patterns of observed radar return Doppler spectra (micro-Doppler). Using the model, the micro-Doppler for different combinations of the turbines rotation frequency, radar pulse repetition frequency, and...