Title :
Preconditioning Matrix Interpolation Technique for Fast Analysis of Scattering Over Broad Frequency Band
Author :
Fan, Z.H. ; Liu, Z.W. ; Ding, D.Z. ; Chen, R.S.
Author_Institution :
Dept. of Commun. Eng., Nanjing Univ. of Sci. & Technol., Nanjing, China
fDate :
7/1/2010 12:00:00 AM
Abstract :
A hybrid interpolation method is proposed for the fast analysis of the radar cross-section (RCS) over a broad frequency band by use of the matrix interpolation method. In order to efficiently compute electromagnetic scattering, the general minimal residual (GMRES) iterative solver is applied to compute the coefficients of Rao-Wilton-Glisson (RWG) basis functions and the sparse approximate inversion (SAI) preconditioning technique is used to accelerate the iterative solver. Moreover, both the near field impedance and SAI preconditioning matrices are interpolated at intermediate frequencies over a relatively large frequency band with rational function interpolation technique. Therefore, a lot of time can be saved for the calculation of both the near field impedance and preconditioning matrices. Numerical results demonstrate that this hybrid method is efficient for wideband RCS calculation with high accuracy.
Keywords :
electromagnetic wave scattering; interpolation; iterative methods; radar cross-sections; sparse matrices; GMRES; RWG basis functions; Rao-Wilton-Glisson basis functions; SAI preconditioning matrices; broad frequency band; electromagnetic scattering; general minimal residual iterative solver; hybrid interpolation method; intermediate frequency; near field impedance; preconditioning matrix interpolation technique; radar cross-section; rational function interpolation technique; sparse approximate inversion preconditioning technique; wideband RCS calculation; Acceleration; Accuracy; Electromagnetic scattering; Frequency; Impedance; Interpolation; Radar cross section; Radar scattering; Sparse matrices; Wideband; Electromagnetic scattering; fast frequency sweep; impedance matrix interpolation; preconditioning matrix interpolation; sparse approximate inversion (SAI);
Journal_Title :
Antennas and Propagation, IEEE Transactions on
DOI :
10.1109/TAP.2010.2046841