Electromagnetic Imaging of Closely Spaced Objects Using Matching Pursuit Based Approaches

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

IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS, vol.15, pp.1179-1182, 2016 (SCI-Expanded)

• 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 (SCI-EXPANDED), Scopus
• Page Numbers: pp.1179-1182
• Istanbul Technical University Affiliated: Yes

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.