SIMPLE TRAFFIC SURVEILLANCE SYSTEM BASED ON RANGE-DOPPLER RADAR IMAGES

A simple traffic surveillance system based on the extraction of features from range-Doppler radar images is addressed. The concept exploits the High-Resolution Radars (HRR) properties. Specifically, a procedure is proposed to obtain some features from the HRR non-cooperative targets to enable their classification. These features are the distance, radial velocity, radial longitudinal dimension of the target, its integrated range-Doppler image based on a group of range-Doppler frames from each target, and both the coherent and non-coherent integrated range profiles. Experimental results from real scenarios using a high-resolution Linear-Frequency-Modulated Continuous-Wave (LFMCW) millimetre-wave radar are shown.