On the target classification through wavelet-compressed scattered ultrawide-band electric field data and ROC analysis


Makal S. , Kızılay A. , Durak L.

PROGRESS IN ELECTROMAGNETICS RESEARCH-PIER, cilt.82, ss.419-431, 2008 (SCI İndekslerine Giren Dergi) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 82
  • Basım Tarihi: 2008
  • Doi Numarası: 10.2528/pier08040903
  • Dergi Adı: PROGRESS IN ELECTROMAGNETICS RESEARCH-PIER
  • Sayfa Sayıları: ss.419-431

Özet

This paper's aim is to classify cylindrical targets from their ultrawide-band radar returns. To calculate the radar returns, image technique formulation is used to obtain the Electric Field Integral Equations (EFIEs). Then, the EFIEs are solved numerically by Method of Moment (MoM). Because of wide frequency range of the ultrawide-band radar signal, the database to be used for target classification becomes very large. To deal with this problem and to provide robustness, wavelet transform is utilized. Application of wavelet transform significantly reduces the size of the database. The coefficients obtained by wavelet transform are used as the inputs of the artificial neural networks (ANNs). Then, the actual performances of the networks are investigated by Receiver Operating Characteristic (ROC) analysis.