Efficient Microwave Imaging Algorithm Based on Hybridization of the Linear Sampling and Level Set Methods

Abstract

A hybridized algorithm based on the linear sampling method and the level set technique is presented. The level set technique has shown the capability of accurate reconstruction of the shapes of unknown targets of different materials and arbitrary shapes but with significant computational time. The linear sampling method has shown comparatively rapid estimation of the targets' shapes. The presented algorithm retains the accuracy of the level set algorithm with significantly reduced computational time due to the hybridization of the level set method and the linear sampling method. Reconstruction results of Fresnel Institute experimental data are obtained using the hybridized algorithm.