Comparing different numerical methods for RCS prediction of a realistic electrically large complex airframe with measured data

Radar Cross Section (RCS) plays a significant role in radar design and modern electronic warfare. Important radar research fields like Non-Cooperative Target Recognition (NCTR) exploit the RCS signature of a target for identification. Different computational electromagnetic (CEM) techniques can be used to predict the RCS of targets. This paper investigates the accuracy and efficiency with which various asymptotic and full wave numerical methods can predict the RCS of a realistic, electrically large, complex airframe, validated against measured data.