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 dil | İngilizce |
|---|---|
| Ana bilgisayar yayını başlığı | 2017 IEEE Conference on Antenna Measurements and Applications, CAMA 2017 |
| Yayınlayan | Institute of Electrical and Electronics Engineers Inc. |
| Sayfalar | 282-283 |
| Sayfa sayısı | 2 |
| ISBN (Elektronik) | 9781509050284 |
| DOI'lar | |
| Yayın durumu | Yayınlandı - 2 Tem 2017 |
| Etkinlik | 2017 IEEE Conference on Antenna Measurements and Applications, CAMA 2017 - Tsukuba, Japan Süre: 4 Ara 2017 → 6 Ara 2017 |
Yayın serisi
| Adı | 2017 IEEE Conference on Antenna Measurements and Applications, CAMA 2017 |
|---|---|
| Hacim | 2018-January |
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| ???event.eventtypes.event.conference??? | 2017 IEEE Conference on Antenna Measurements and Applications, CAMA 2017 |
|---|---|
| Ülke/Bölge | Japan |
| Şehir | Tsukuba |
| Periyot | 4/12/17 → 6/12/17 |
Bibliyografik not
Publisher Copyright:© 2017 IEEE.
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