Superresolution ISAR imaging using 2-D autoregressive lattice filters

Iin Erer*, Ahmet Hamdi Kayran

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)


A new efficient algorithm to obtain high-resolution ISAR images in the case of limited frequency band and small angular section is presented. The method is based on the two-dimensional (2-D) autoregressive modeling of 2-D Cartesian frequency backscattered data using 2-D orthogonal lattice filters. ISAR images obtained for an experimental target are included to validate this technique.

Original languageEnglish
Pages (from-to)81-85
Number of pages5
JournalMicrowave and Optical Technology Letters
Issue number1
Publication statusPublished - 5 Jan 2002


  • Autoregressive modeling
  • ISAR imaging
  • Lattice filters
  • Linear prediction


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