RCS histogram analysis of scaled target models for 77 GHz radar applications

Abstract

This paper proposes an approach of obtaining radar cross section (RCS) histogram using a scaled-down target model to minimize the computational load and simulation time for electromagnetic (EM) simulation. First, we design scaled models and estimate their RCS histograms considering the frequency band, radar directions, and the system noise. Then, we compute cumulative distribution functions (CDFs) of the RCS data and examine Kolmogorov-Smirnov (KS) distances to verify proper relative scaling factors. The result demonstrates that the CDF distribution of a 7/10-scale model well describes that of the realscale model with a KS distance of 0.07, and the simulation time is also reduced to 30.4%.