Electromagnetic Imaging of Closely Spaced Objects Using Matching Pursuit Based Approaches
IEEE Antennas and Wireless Propagation Letters, cilt.15, ss.1179-1182, 2016 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 15
- Basım Tarihi: 2016
- Doi Numarası: 10.1109/lawp.2015.2498702
- Dergi Adı: IEEE Antennas and Wireless Propagation Letters
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
- Sayfa Sayıları: ss.1179-1182
- Anahtar Kelimeler: Compressive sensing, electromagnetic imaging, inverse problems, matching pursuit algorithms
- Maltepe Üniversitesi Adresli: Evet
Özet
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.