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In this article, a novel scattering center extractionmethod using genetic algorithm is proposed to deal with theultra-wideband (UWB) localization image, which is calledevolutionary programming (EP) CLEAN algorithm. Because ofthe UWB characters, the ideal point scattering model and EPmethod are used in the algorithm for optimizing the UWBlocalization images. After introducing the algorithm detail, theactual model is used to realize the EP CLEAN algorithm.Compared with the conventional localization imaging algorithm,this algorithm has advantages fitting the UWB characters such asaccuracy, robustness, and better resolution, which are verified bythe numerical simulations. Therefore the EP CLEAN algorithmcould improve localization image performance to expand theUWB technique application.
In this article, a novel scattering center extraction method using genetic algorithm is proposed to deal with theultra-wideband (UWB) localization image, which is calledevolutionary programming (EP) CLEAN algorithm. Because of the UWB characters, the ideal point scattering model and EPmethod are used in the algorithm for optimizing the UWBlocalization images. After introducing the algorithm detail, theactual model is used to realize the EP CLEAN algorithm. Compared with the conventional localization imaging algorithm, this algorithm has advantages fitting the UWB characters such asaccuracy, robustness, and better resolution , which are verified by the numerical simulations. Therefore the EP CLEAN algorithmcould improve localization image performance to expand theUWB technique application.