Evaluation of DSP-driven and ML methods for radar-based classification of human, vehicles, and UAVs
This paper investigates Frequency-Modulated Continuous-Wave (FMCW) radar target classification using an interpretable digital signal processing (DSP) feature-engineering pipeline combined with classical machine learning (ML) models. Range--Doppler patches corresponding to three target classes—car, drone, and human—are...