Low Computational cost method for scattering of large cavities based on ACA compression of Iterative Physical Optics
Résumé
This paper is about Radar Cross Section
(RCS) calculation of large cavities. For such targets,
Iterative Physical Optics (IPO) is a method known
to provide a good trade-o between complexity and
accuracy. In this article, a numerical compression
is applied to interaction matrices of IPO between
coupled surfaces. The compression is made by using
the algebraic Adaptive Cross Approximation (ACA)
technique, which is known to provide a good com-
pression and acceleration when used with dense ma-
trices involved in rigorous numerical methods. It is
also improved by a recompression (RACA). Results
show that this technique highly compresses the IPO
matrices, without damaging the RCS prediction by
IPO.