Applications of forward-backward method in the fast analysis of large array problems

A forward-backward method (FBM), previously developed for the fast analysis of ocean-like rough surfaces, is an efficient MoM-based approach that has the advantage of fast convergence. The FBM has the potential to analyze large array problems very efficiently since a novel spectral acceleration (NSA) algorithm has been developed which makes the MoM computational count O(N). In this paper, the FBM/NSA applications for large array problems are described. In particular, the scattering problems of an array of strips illuminated by an incident field are treated as an example to demonstrate its validity in comparison with the rigorous MoM solutions in terms of efficiency and accuracy.