Radar cross‐sections of pedestrians at automotive radar frequencies using ray tracing and point scatterer modelling
Yoshana Deep, Patrick Held, Shobha Sundar Ram, Dagmar Steinhauser, A. Gupta, Frank Gruson, Andreas Koch, Anirban Roy
Abstract
Simulation of radar cross‐sections of pedestrians at automotive radar frequencies forms a key tool for software verification test beds for advanced driver assistance systems. Two commonly used simulation methods are the computationally simple scattering centre model of dynamic humans and the shooting and bouncing ray technique based on geometric optics. The latter technique is more accurate but computationally complex. Hence, it is usually used only for modelling scattered returns of still human poses. In this work, the authors combine the two methods in a linear regression framework to accurately estimate the scattering coefficients or reflectivities of point scatterers in a realistic automotive radar signal model which they subsequently use to simulate range‐time, Doppler‐time and range‐Doppler radar signatures. The simulated signatures show a normalised mean square error <10% and a structural similarity >81% with respect to measurement results generated with an automotive radar at 77 GHz.