Radar hedeflerinin siniflandirilmasinda saçici merkezlerin kestirimi için yeni bir karma yaklaşim

Özgür Gültekin*, Tayfun Günel, Işin Erer

*Bu çalışma için yazışmadan sorumlu yazar

Araştırma sonucu: ???type-name???Konferans katkısıbilirkişi

1 Atıf (Scopus)

Özet

Radar images, range profiles and scattering centers are used as feature parameters in radar target classification applications. Scattering center parameters, when used as feature parameters, enable an efficient compression of feature space compared to classical target classification methods based on radar images and range profiles. A method used for the estimation of scattering centers via cancellation of side lobes is the CLEAN algorithm. In this work, model based Prony, MUSIC, ESPRIT and evolutionary based CLEAN methods are applied for the estimation of scattering centers. A hybrid method is proposed which improves the convergence of evolutionary based CLEAN. Scattering centers which are estimated by aforementioned methods are classified using correlation based matching score method, Bayes classifier and artificial neural networks. Classification is accomplished using simulated data of four different aircraft models created by the point target model at different frequency bands and aspect angles.

Tercüme edilen katkı başlığıA new hybrid approach to radar target classification for the estimation of scattering centers
Orijinal dilTürkçe
Ana bilgisayar yayını başlığı2006 IEEE 14th Signal Processing and Communications Applications Conference
DOI'lar
Yayın durumuYayınlandı - 2006
Etkinlik2006 IEEE 14th Signal Processing and Communications Applications - Antalya, Turkey
Süre: 17 Nis 200619 Nis 2006

Yayın serisi

Adı2006 IEEE 14th Signal Processing and Communications Applications Conference
Hacim2006

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???2006 IEEE 14th Signal Processing and Communications Applications
Ülke/BölgeTurkey
ŞehirAntalya
Periyot17/04/0619/04/06

Parmak izi

Radar hedeflerinin siniflandirilmasinda saçici merkezlerin kestirimi için yeni bir karma yaklaşim' araştırma başlıklarına git. Birlikte benzersiz bir parmak izi oluştururlar.

Alıntı Yap