A Study on the Comparision of One-Dimensional Scattering Extraction Algorithms for Radar Target Identification

레이더 표적 구분을 위한 1차원 산란점 추출 기법 알고리즘들의 성능에 관한 비교 연구

  • Jung, Ho-Ryung (Dept. of EE, Pohang University of Science and Technology) ;
  • Seo, Dong-Kyu (Dept. of EE, Pohang University of Science and Technology) ;
  • Kim, Kyung-Tae (Dept. of Electrical Engineering and Computer Science, Yeungnam Univ.) ;
  • Kim, Hyo-Tae (Dept. of EE, Pohang University of Science and Technology)
  • 정호령 (포항공과대학교 전자전기공학과) ;
  • 서동규 (포항공과대학교 전자전기공학과) ;
  • 김경태 (영남대학교 전자정보공학부) ;
  • 김효태 (포항공과대학교 전자전기공학과)
  • Published : 2003.11.15

Abstract

Radar target identification can be achieved by using various radar signatures, such as one-dimensional(1-D) range profile, 2-D radar images, and 1-D or 2-D scattering centers on a target. In this letter, five 1-D scattering center extraction methods are discussed - TLS(Total Least Square)-Prony, Fast Root-MUSIC (Multiple Signal Classification), Matrix-Pencil, GEESE(GEneralized Eigenvalues utilizing Signal-subspace Eigenvalues), TLS-ESPRIT(Total Least Squares - Estimation of Signal Parameters via Rotational Invariance Technique), These methods are compared in the context of estimation accuracy as well as a computational efficiency using a noisy data. Finally these methods are applied to the target classification experiment with the measured data in the POSTECH compact range facility.

Keywords