Improvement of RCS prediction using modified angular division algorithm

Abstract

The shooting and bouncing rays (SBR) method has been widely used to predict the radar cross section (RCS) of electrically large and complex targets. SBR computation time rapidly increases as the size and the complexity of a target increase. The angular division algorithm (ADA) can be applied to reduce the number of intersection tests in SBR, which facilitates faster RCS prediction. However, ADA has an error in its table construction step, resulting in incorrect prediction for multiple scattered fields. In this paper, the error is described, and the modified ADA (MADA) is proposed to correct the error and to enhance accuracy. Numerical results show that MADA can achieve good RCS prediction accuracy.