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Through-Wall Shape Reconstruction and Wall Parameters Estimation Using Differential Evolution

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1 Author(s)
Mojtaba Dehmollaian ; School of Electrical and Computer Engineering, University of Tehran, Tehran, Iran

In this letter, the ability of differential evolution (DE) stochastic searching algorithm in front shape reconstruction of 2-D conducting targets hidden behind a homogeneous building wall is shown using simulated backscattered fields, calculated at different frequency and observation points. The target shapes are approximated by the cubic B-spline curves and the targets' equivalent surface currents are computed numerically using method of moments impedance matrix. Simulations show that DE algorithm can successfully reconstruct the wall parameters (i.e., permittivity, conductivity, and thickness) together with target front shape and location for moderate values of signal to clutter and signal to noise power ratios.

Published in:

IEEE Geoscience and Remote Sensing Letters  (Volume:8 ,  Issue: 2 )