A new data extrapolation algorithm for high resolution ISAR imaging


Erer I.

AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS, cilt.60, ss.316-319, 2006 (SCI İndekslerine Giren Dergi) identifier identifier

  • Cilt numarası: 60 Konu: 4
  • Basım Tarihi: 2006
  • Doi Numarası: 10.1016/j.aeue.2005.05.010
  • Dergi Adı: AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS
  • Sayfa Sayıları: ss.316-319

Özet

A new data extrapolation algorithm for high resolution radar imaging is presented. The backscattered data are modeled as an autoregressive process where the prediction coefficients are computed using ID least-square lattice filters. Unlike the well-known Burg or modified covariance methods, least square lattice modeling yields different prediction coefficients for forward and backward directions. The proposed method does not need to satisfy Levinson recursion, i.e. does not suffer from the limitations of the Burg method such as spectral splitting or bias in the locations of the scattering centers. Moreover, due to its lattice structure it does not need any matrix inversion like the modified covariance method. Results obtained for an experimental target are included to confirm the proposed algorithm. (c) 2005 Elsevier GmbH. All rights reserved.