Efficient for RCS computation of long and complex dielectric objects

We propose a new method for RCS computation of long internally complex dielectric objects such as wind turbine blades. The method proposed here is an improved iterative algorithm whose convergence is proven. Thanks to the geometrical decomposition technique, three accelerating methods can be used efficiently in an iterative algorithm. The first accelerating method allows the elimination of the internal degrees of freedom with minimal cost. The second accelerating method (matrix compression QR) accelerates all the matrix vector products used in the preconditioning procedure as well as in the GMRES iterative resolution. The third accelerating method consists in using a "geometric neighboring" preconditioner adapted to the physical aspect of the problem