Proceedings of the Korea Electromagnetic Engineering Society Conference (한국전자파학회:학술대회논문집)
- 2003.11a
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- Pages.193-197
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- 2003
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
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Jung, Ho-Ryung
(Dept. of EE, Pohang University of Science and Technology) ;
- Seo, Dong-Kyu (Dept. of EE, Pohang University of Science and Technology) ;
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Kim, Kyung-Tae
(Dept. of Electrical Engineering and Computer Science, Yeungnam Univ.) ;
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Kim, Hyo-Tae
(Dept. of EE, Pohang University of Science and Technology)
- 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.