Point Scatterer Model for RCS prediction using ISAR measurements

Alper Kaya*, Mesut Kartal

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Citations (Scopus)

Abstract

A New Point Scatterer Prediction Model is presented in this paper to predict RCS of an aircraft model using Inverse Synthetic Aperture Radar (ISAR) images of the aircraft.. The ISAR images are provided by Defense Agency of Sweden and Saab inc. for each 15 degrees in horizontal plane. RCS is predicted for each aspect angle by taking superposition of the dominant point scatterers whose locations and strength are calculated from these ISAR images and simulation results are given with measurement results of the same aircraft model.

Original languageEnglish
Title of host publicationRAST 2009 - Proceedings of 4th International Conference on Recent Advances Space Technologies
Pages422-425
Number of pages4
DOIs
Publication statusPublished - 2009
Event4th International Conference on Recent Advances in Space Technologies 2009, RAST '09 - Istanbul, Turkey
Duration: 11 Jun 200913 Jun 2009

Publication series

NameRAST 2009 - Proceedings of 4th International Conference on Recent Advances Space Technologies

Conference

Conference4th International Conference on Recent Advances in Space Technologies 2009, RAST '09
Country/TerritoryTurkey
CityIstanbul
Period11/06/0913/06/09

Keywords

  • Aircraft
  • ISAR
  • Point scatterers
  • RCS

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