Inversion of Phaseless Total Field Data using a Two-Step Strategy based on the Iterative Multi-Scaling Approach

Franceschini, Gabriele and Donelli, Massimo and Azaro, Renzo and Massa, Andrea (2006) Inversion of Phaseless Total Field Data using a Two-Step Strategy based on the Iterative Multi-Scaling Approach. UNSPECIFIED.

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    In this paper, a new approach for the quantitative electromagnetic imaging of unknown scatterers located in free space from amplitude-only measurements of the total field is proposed and discussed. The reconstruction procedure splits the problem into two steps. The method is based on the use of an inverse source algorithm to first complete the scattering data by estimating the distribution of the radiated field in the investigation domain. The object's function profile is then retrieved from the phaseless data via an iterative multiresolution procedure integrated with an effective minimization technique based on the particle swarm algorithm. Numerical examples are provided to assess the effectiveness of the whole two-step strategy in the presence of synthetic noise-corrupted data as well as in dealing with experimental data sets. Comparisons with full-data and "bare" approaches are reported as well. (c) 2006 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.

    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
    Uncontrolled Keywords: Inverse Scettering; Electromagnetic Imaging; Phaseless Data; Integrated Multi-Scaling Approach; Particle Swarm Optimizer
    Report Number: DISI-11-075
    Repository staff approval on: 28 Mar 2011

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