Title :
A priori clipping threshold estimation for wavelet-based method of moments matrices
Author :
Andriulli, F. ; Vecchi, G. ; Vipiana, F. ; Pirinoli, P.
Author_Institution :
CERCOM, Politecnico di Torino, Italy
Abstract :
The method of moments transforms the antenna problem into a linear system. Wavelets are mainly used in MoM to render the system matrix sparse; clipping entries below a given threshold is an essential operation to obtain the desired sparse matrix. We present a novel way to estimate a priori the clipping threshold that produces an error on the solution lower than a desired error known as input. The procedure has a very low computational complexity, O(n). It is tested on a matrix obtained by applying the wavelet-based method of moments to a microstrip patch array structure.
Keywords :
antenna theory; computational complexity; impedance matrix; method of moments; microstrip antenna arrays; parameter estimation; sparse matrices; wavelet transforms; MoM; a priori clipping threshold estimation; computational complexity; impedance matrix; method of moments matrices; microstrip array; microstrip patch array; sparse matrix; wavelet; Artificial intelligence; Computational complexity; Computational efficiency; Costs; Impedance; Linear systems; Message-oriented middleware; Moment methods; Sparse matrices; Wavelet domain;
Conference_Titel :
Antennas and Propagation Society International Symposium, 2004. IEEE
Print_ISBN :
0-7803-8302-8
DOI :
10.1109/APS.2004.1330467
