Accurate Three-Dimensional Scattering Center Extraction for ISAR Image Using the Matched Filter-Based CLEAN Algorithm

Dal-Jae YUN; Jae-In LEE; Ky-Ung BAE; Won-Young SONG; Noh-Hoon MYUNG

doi:10.1587/transcom.2017ISP0005

Accurate Three-Dimensional Scattering Center Extraction for ISAR Image Using the Matched Filter-Based CLEAN Algorithm

Dal-Jae YUN, Jae-In LEE, Ky-Ung BAE, Won-Young SONG, Noh-Hoon MYUNG

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Three-dimensional (3-D) scattering center models use a finite number of point scatterers to efficiently represent complex radar target signature. Using the CLEAN algorithm, 3-D scattering center model is extracted from the inverse synthetic aperture radar (ISAR) image, which is generated based on the shooting and bouncing ray (SBR) technique. The conventional CLEAN extracts the strongest peak iteratively based on the assumption that the scattering centers are isolated. In a realistic target, however, both interference from the closely spaced points and additive noise distort the extraction process. This paper proposes a matched filter-based CLEAN algorithm to improve accuracy efficiently. Using the matched filtering of which impulse response is the known point spread function (PSF), a point most correlated with the PSF is extracted. Thus, the proposed method optimally enhances the accuracy in the presence of massive distortions. Numerical simulations using canonical and realistic targets demonstrate that the extraction accuracy is improved without loss of time-efficiency compared with the existing CLEAN algorithms.

Publication: IEICE TRANSACTIONS on Communications Vol.E101-B No.2 pp.418-425

Publication Date: 2018/02/01

Publicized: 2017/08/22

Online ISSN: 1745-1345

DOI: 10.1587/transcom.2017ISP0005

Type of Manuscript: Special Section PAPER (Special Section on Recent Progress in Antennas and Propagation in Conjunction with Main Topics of ISAP2016)

Category: Electromagnetic Analysis

Authors

Dal-Jae YUN
  Korea Advanced Institute of Science and Technology (KAIST)
Jae-In LEE
  Korea Advanced Institute of Science and Technology (KAIST)
Ky-Ung BAE
  Korea Advanced Institute of Science and Technology (KAIST)
Won-Young SONG
  Korea Advanced Institute of Science and Technology (KAIST)
Noh-Hoon MYUNG
  Korea Advanced Institute of Science and Technology (KAIST)

Keyword

scattering center extraction, inverse synthetic aperture radar (ISAR) imaging, CLEAN algorithm, matched filter, point spread function

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Dal-Jae YUN, Jae-In LEE, Ky-Ung BAE, Won-Young SONG, Noh-Hoon MYUNG, "Accurate Three-Dimensional Scattering Center Extraction for ISAR Image Using the Matched Filter-Based CLEAN Algorithm" in IEICE TRANSACTIONS on Communications, vol. E101-B, no. 2, pp. 418-425, February 2018, doi: 10.1587/transcom.2017ISP0005.
Abstract: Three-dimensional (3-D) scattering center models use a finite number of point scatterers to efficiently represent complex radar target signature. Using the CLEAN algorithm, 3-D scattering center model is extracted from the inverse synthetic aperture radar (ISAR) image, which is generated based on the shooting and bouncing ray (SBR) technique. The conventional CLEAN extracts the strongest peak iteratively based on the assumption that the scattering centers are isolated. In a realistic target, however, both interference from the closely spaced points and additive noise distort the extraction process. This paper proposes a matched filter-based CLEAN algorithm to improve accuracy efficiently. Using the matched filtering of which impulse response is the known point spread function (PSF), a point most correlated with the PSF is extracted. Thus, the proposed method optimally enhances the accuracy in the presence of massive distortions. Numerical simulations using canonical and realistic targets demonstrate that the extraction accuracy is improved without loss of time-efficiency compared with the existing CLEAN algorithms.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2017ISP0005/_p

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@ARTICLE{e101-b_2_418,
author={Dal-Jae YUN, Jae-In LEE, Ky-Ung BAE, Won-Young SONG, Noh-Hoon MYUNG, },
journal={IEICE TRANSACTIONS on Communications},
title={Accurate Three-Dimensional Scattering Center Extraction for ISAR Image Using the Matched Filter-Based CLEAN Algorithm},
year={2018},
volume={E101-B},
number={2},
pages={418-425},
abstract={Three-dimensional (3-D) scattering center models use a finite number of point scatterers to efficiently represent complex radar target signature. Using the CLEAN algorithm, 3-D scattering center model is extracted from the inverse synthetic aperture radar (ISAR) image, which is generated based on the shooting and bouncing ray (SBR) technique. The conventional CLEAN extracts the strongest peak iteratively based on the assumption that the scattering centers are isolated. In a realistic target, however, both interference from the closely spaced points and additive noise distort the extraction process. This paper proposes a matched filter-based CLEAN algorithm to improve accuracy efficiently. Using the matched filtering of which impulse response is the known point spread function (PSF), a point most correlated with the PSF is extracted. Thus, the proposed method optimally enhances the accuracy in the presence of massive distortions. Numerical simulations using canonical and realistic targets demonstrate that the extraction accuracy is improved without loss of time-efficiency compared with the existing CLEAN algorithms.},
keywords={},
doi={10.1587/transcom.2017ISP0005},
ISSN={1745-1345},
month={February},}

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TY - JOUR
TI - Accurate Three-Dimensional Scattering Center Extraction for ISAR Image Using the Matched Filter-Based CLEAN Algorithm
T2 - IEICE TRANSACTIONS on Communications
SP - 418
EP - 425
AU - Dal-Jae YUN
AU - Jae-In LEE
AU - Ky-Ung BAE
AU - Won-Young SONG
AU - Noh-Hoon MYUNG
PY - 2018
DO - 10.1587/transcom.2017ISP0005
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E101-B
IS - 2
JA - IEICE TRANSACTIONS on Communications
Y1 - February 2018
AB - Three-dimensional (3-D) scattering center models use a finite number of point scatterers to efficiently represent complex radar target signature. Using the CLEAN algorithm, 3-D scattering center model is extracted from the inverse synthetic aperture radar (ISAR) image, which is generated based on the shooting and bouncing ray (SBR) technique. The conventional CLEAN extracts the strongest peak iteratively based on the assumption that the scattering centers are isolated. In a realistic target, however, both interference from the closely spaced points and additive noise distort the extraction process. This paper proposes a matched filter-based CLEAN algorithm to improve accuracy efficiently. Using the matched filtering of which impulse response is the known point spread function (PSF), a point most correlated with the PSF is extracted. Thus, the proposed method optimally enhances the accuracy in the presence of massive distortions. Numerical simulations using canonical and realistic targets demonstrate that the extraction accuracy is improved without loss of time-efficiency compared with the existing CLEAN algorithms.
ER -