Electromagnetic Imaging of Closely Spaced Objects Using Matching Pursuit Based Approaches


Senyuva R. V. , OZDEMIR Ö., KURT G. K. , Anarim E.

IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS, vol.15, pp.1179-1182, 2016 (Peer-Reviewed Journal) identifier identifier

  • Publication Type: Article / Article
  • Volume: 15
  • Publication Date: 2016
  • Doi Number: 10.1109/lawp.2015.2498702
  • Journal Name: IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS
  • Journal Indexes: Science Citation Index Expanded, Scopus
  • Page Numbers: pp.1179-1182

Abstract

In this letter, sparse signal recovery framework is applied for the reconstruction of two closely placed point-like objects from measured scattered electromagnetic field. Greedy matching pursuit-based algorithms are investigated as the sparsity promoting method. The performances of the matching pursuit algorithms are compared against convex relaxation methods. Orthogonal matching pursuit algorithm implemented with a flexible tree structure is shown to improve the resolution for the inverse scattering problem.