Title :
Sparse parameterisation of electromagnetic scattering data using genetic algorithm with adaptive feeding
Author :
Li, J. ; Zhou, Y. ; Ling, H.
Author_Institution :
Dept. of Electr. Eng., Univ. of Texas-Pan American, Edinburg, TX, USA
fDate :
7/24/2003 12:00:00 AM
Abstract :
A method is presented to parameterise scattering data from complex targets. Based on a global model with both scattering centres and resonances, a genetic algorithm with adaptive feeding is proposed for a sparse representation. The algorithm is tested with measurement data and shows better performance than non-global parameterisation methods.
Keywords :
electromagnetic wave scattering; genetic algorithms; adaptive feeding; complex targets; electromagnetic scattering data; genetic algorithm; global model; measurement data; resonances; scattering centres; sparse parameterisation;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:20030723
