Artikel Jurnal :: Kembali

Artikel Jurnal :: Kembali

Automatic target classification in gmti airborne scenario

Mousumi Gupta; Debasish Bhaskar; Rabindranath Bera ([Publisher not identified] , 2016)

 Abstrak

Ground moving radar
target classification is one of the recent research issues that has arisen in
an airborne ground moving target indicator (GMTI) scenario. This work presents
a novel technique for classifying individual targets depending on their radar
cross section (RCS) values. The RCS feature is evaluated using the Chebyshev
polynomial. The radar captured target usually provides an imbalanced solution
for classes that have lower numbers of pixels and that have similar
characteristics. In this classification technique, the Chebyshev polynomial?s
features have overcome the problem of confusion between target classes with
similar characteristics. The Chebyshev polynomial highlights the RCS feature
and is able to suppress the jammer signal. Classification has been performed by
using the probability neural network (PNN) model. Finally, the classifier with
the Chebyshev polynomial feature has been tested with an unknown RCS value. The
proposed classification method can be used for classifying targets in a GMTI
system under the warfield condition.

 Metadata

Jenis Koleksi : Artikel Jurnal
No. Panggil : J-Pdf
Entri utama-Nama orang :
Entri tambahan-Nama orang :
Subjek :
Penerbitan : [Place of publication not identified]: [Publisher not identified], 2016
Sumber Pengatalogan : LibUI eng rda
ISSN : 20872100
Majalah/Jurnal : International Journal of Technology (IJTECH)
Volume : Vol 7, No 5 (2016) 840-848
Tipe Konten : text
Tipe Media : computer
Tipe Carrier : online resource
Akses Elektronik : http://www.ijtech.eng.ui.ac.id/index.php/journal/article/view/2925
Institusi Pemilik : Universitas Indonesia
Lokasi :
  • Ketersediaan
  • Ulasan
  • Sampul
No. Panggil No. Barkod Ketersediaan
J-Pdf 03-17-355520186 TERSEDIA
Ulasan:
Tidak ada ulasan pada koleksi ini: 20449800
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