An Integrated Multi-Scaling Strategy based on a Particle Swarm Algorithm for Inverse Scattering Problems

Donelli, Massimo and Franceschini, Gabriele and Martini, Anna and Massa, Andrea (2004) An Integrated Multi-Scaling Strategy based on a Particle Swarm Algorithm for Inverse Scattering Problems. UNSPECIFIED. (In Press)

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    The application of a multiscale strategy integrated with a stochastic technique to the solution of nonlinear inverse scattering problems is presented. The approach allows for the explicit and easy handling of many difficulties associated with such a problem ranging from ill-conditioning to nonlinearity and false solutions drawback. The choice of a finite dimensional representation for the unknowns, due to the upper bound to the essential dimension of the data, is iteratively accomplished by means of an adaptive multi-resolution model, which offers considerable flexibility for the inclusion of the a-priori knowledge and of the knowledge acquired during the iterative steps of the multiscaling process. Even though a suitable representation of the unknowns could limit the local minima problem, the multi-resolution strategy is integrated with a customized stochastic optimizer based on the behavior of a particle swarm (PSO), which allows to prevent that nonlinearity could induce the solution algorithm into false solutions without a large increasing of the overall computational burden. Selected examples are presented by considering a two-dimensional microwave imaging problem so as to illustrate the key features of the integrated stochastic multi-scaling strategy.

    Item Type: Departmental Technical Report
    Department or Research center: Information Engineering and Computer Science
    Subjects: Q Science > QC Physics (General) > QC661 Electromagnetic Theory
    Q Science > QC Physics (General) > QC760 Electromagnetism
    Report Number: DIT-04-081
    Repository staff approval on: 25 Oct 2004

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