Title :
Microwave imaging of perfect electrically conducting cylinder by micro-genetic algorithm
Author :
Huang, Tony ; Mohan, Ananda S.
Author_Institution :
Microwave & Wireless Technol. Res. Lab., Univ. of Technol., Sydney, NSW, Australia
Abstract :
In this paper, we successfully demonstrate the use of a micro-genetic algorithm (m-GA) to the problems of microwave image reconstruction for perfect electrically conducting cylinders, even when there is only a limited number of measured data available. We have also presented the comparison between the performance of conventional GA and m-GA, and the result shows that m-GA converges much faster than the conventional GA.
Keywords :
convergence; electromagnetic wave scattering; genetic algorithms; image reconstruction; inverse problems; microwave imaging; EM inverse scattering problem; m-GA convergence; micro-genetic algorithm; microwave image reconstruction; microwave imaging; multi-illumination multiview method; perfect electrically conducting cylinders; Electromagnetic radiation; Electromagnetic scattering; Engine cylinders; Image reconstruction; Inverse problems; Microwave imaging; Microwave technology; Radar scattering; Shape measurement; Transceivers;
Conference_Titel :
Antennas and Propagation Society International Symposium, 2004. IEEE
Print_ISBN :
0-7803-8302-8
DOI :
10.1109/APS.2004.1329604
