Solving an Electromagnetic Inverse Scattering Problem using Matrix Pencil Method and Particle Swarm Optimization

One of the objectives of solving electromagnetic inverse scattering problems is to extract information about an unknown under-test object from the scattered waveform. One approach to solving such a problem is to consider an electromagnetic model for the scattering signal based on the object’s physical parameters. However, such an inverse problem faces the challenge of extracting a high number of unknown parameters in the model by utilizing only minimal input data. In this paper, solving an inverse electromagnetic scattering problem based on mathematical modeling and using Matrix Pencil Method (MPM) and particle swarm optimization (PSO) is proposed. The scattered signal from a metal duct with an open-ended was used to verify the processing algorithm. The promising results show that the extracted results from the algorithm meet the actual measured data with an acceptable error rate.