Title : 
Fast solution of electromagnetic scattering problems with multiple excitations using the recompressed adaptive cross approximation
         
        
            Author : 
Kazempour, Mahdi ; Gurel, Levent
         
        
            Author_Institution : 
Bilkent Univ. Comput. Electromagn. Res. Center (BiLCEM), Ankara, Turkey
         
        
        
        
        
        
            Abstract : 
We present an algebraic compression technique to accelerate the computation of multiple monostatic radar cross sections of arbitrary 3-D geometries. The method uses adaptive cross approximation, followed by a recompression technique to reduce the CPU time and the memory consumption. Each scattering problem due to a single excitation is solved with the multilevel fast multipole algorithm. The numerical results demonstrate the efficiency and accuracy of the proposed method.
         
        
            Keywords : 
algebra; approximation theory; data compression; electromagnetic wave scattering; radar cross-sections; CPU time reduction; algebraic compression technique; arbitrary 3D geometry; electromagnetic scattering problems; memory consumption; multilevel fast multipole algorithm; multiple excitations; multiple monostatic radar cross sections; recompressed adaptive cross approximation technique; single excitation; Acceleration; Geometry; Interpolation; MLFMA; Matrix decomposition; Radar cross-sections;
         
        
        
        
            Conference_Titel : 
Antennas and Propagation Society International Symposium (APSURSI), 2014 IEEE
         
        
            Conference_Location : 
Memphis, TN
         
        
        
            Print_ISBN : 
978-1-4799-3538-3
         
        
        
            DOI : 
10.1109/APS.2014.6904702