Target classification using radar cross-section statistics of millimeter-wave scattering

Purpose This paper aims to discuss the classification of targets based on their radar cross-section (RCS). The wavelength, dimensions and distance from antenna are in order 1 mm, m 10 m, respectively. Design/methodology/approach near-field RCS is considered, physical optics approximation used for its numerical calculation. To model real scenarios, authors assume that incident angle a random variable within narrow interval, repeated observations made realizations. Then, histogram calculated samples. use nearest neighbor rule classify conducting plates with different shapes histogram. Findings setup considered as simple traffic road sign by millimeter-wavelength radar. performance limitations algorithm demonstrated through set representative examples. Originality/value proposed method extends existing tools using histograms target features achieve algorithm.