A Study on ISAR Imaging Algorithm for Radar Target Recognition

표적 구분을 위한 ISAR 영상 기법에 대한 연구

  • Park, Jong-Il (Department of Electronic Engineering, Yeungnam University) ;
  • Kim, Kyung-Tae (Department of Electronic Engineering, Yeungnam University)
  • 박종일 (영남대학교 전자공학과) ;
  • 김경태 (영남대학교 전자공학과)
  • Published : 2008.03.31


ISAR(Inverse Synthetic Aperture Radar) images represent the 2-D(two-dimensional) spatial distribution of RCS (Radar Cross Section) of an object, and they can be applied to the problem of target identification. A traditional approach to ISAR imaging is to use a 2-D IFFT(Inverse Fast Fourier Transform). However, the 2-D IFFT results in low resolution ISAR images especially when the measured frequency bandwidth and angular region are limited. In order to improve the resolution capability of the Fourier transform, various high-resolution spectral estimation approaches have been applied to obtain ISAR images, such as AR(Auto Regressive), MUSIC(Multiple Signal Classification) or Modified MUSIC algorithms. In this study, these high-resolution spectral estimators as well as 2-D IFFT approach are combined with a recently developed ISAR image classification algorithm, and their performances are carefully analyzed and compared in the framework of radar target recognition.




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