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Sparsity based regularization for microwave imaging with NESTA algorithm

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde BölümKonferans katkısıbilirkişi

4 Atıf (Scopus)

Özet

We propose a sparsity based regularization method, Born Iterative Method(BIM)-NESTA to enhance the resolution in sparse microwave imaging problems. The inverse problem is handled with conjunction of Born Iterative Method and NESTA algorithm by minimization of the cost function which consists measurement-data misfit and first-norm penalty term. Numerical results verify that BIM-NESTA method manages to reconstruct closely located object and possess edge preserving capability for sparse domain where traditional BIM with Tikhonov regularization fails.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığı2017 IEEE Conference on Antenna Measurements and Applications, CAMA 2017
YayınlayanInstitute of Electrical and Electronics Engineers Inc.
Sayfalar282-283
Sayfa sayısı2
ISBN (Elektronik)9781509050284
DOI'lar
Yayın durumuYayınlandı - 2 Tem 2017
Etkinlik2017 IEEE Conference on Antenna Measurements and Applications, CAMA 2017 - Tsukuba, Japan
Süre: 4 Ara 20176 Ara 2017

Yayın serisi

Adı2017 IEEE Conference on Antenna Measurements and Applications, CAMA 2017
Hacim2018-January

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???event.eventtypes.event.conference???2017 IEEE Conference on Antenna Measurements and Applications, CAMA 2017
Ülke/BölgeJapan
ŞehirTsukuba
Periyot4/12/176/12/17

Bibliyografik not

Publisher Copyright:
© 2017 IEEE.

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