TY - JOUR
T1 - Recursive Sidelobe Minimization Algorithm for Back-Projection Imaging of Impulse-Based Circular Synthetic Aperture Radar
AU - Li, Dongfang
AU - Wei, Guohua
AU - Sun, Biqing
AU - Wang, Xu
N1 - Publisher Copyright:
© 2004-2012 IEEE.
PY - 2020/10
Y1 - 2020/10
N2 - Circular synthetic aperture radar (CSAR) is of great significance in the detection of targets and their internal structure, such as mountains, the ground, and underground areas, because of its advantage of large total observation angle of the targets. Impulse-based radar has a very high range resolution but cannot be imaged by the azimuth focusing technique in the frequency domain. Therefore, the back-projection (BP) algorithm is used for imaging in this study. We derive the point spread function (PSF) analytic formula of the CSAR for BP algorithm imaging under a large total observation angle. According to the PSF, the influence of the strong scattering point on the adjacent image point is analyzed. Meanwhile, the problems of using the recursive sidelobe minimization (RSM) algorithm in CSAR are analyzed. Finally, combined with the above analysis, an improved RSM algorithm for impulse-based CSAR is proposed. Simulation and experimental data verify the accuracy and effectiveness of the proposed method.
AB - Circular synthetic aperture radar (CSAR) is of great significance in the detection of targets and their internal structure, such as mountains, the ground, and underground areas, because of its advantage of large total observation angle of the targets. Impulse-based radar has a very high range resolution but cannot be imaged by the azimuth focusing technique in the frequency domain. Therefore, the back-projection (BP) algorithm is used for imaging in this study. We derive the point spread function (PSF) analytic formula of the CSAR for BP algorithm imaging under a large total observation angle. According to the PSF, the influence of the strong scattering point on the adjacent image point is analyzed. Meanwhile, the problems of using the recursive sidelobe minimization (RSM) algorithm in CSAR are analyzed. Finally, combined with the above analysis, an improved RSM algorithm for impulse-based CSAR is proposed. Simulation and experimental data verify the accuracy and effectiveness of the proposed method.
KW - Back-projection (BP)
KW - circular synthetic aperture radar (CSAR)
KW - impulse-based radar
KW - point spread function (PSF)
KW - recursive sidelobe minimization (RSM)
KW - resolution analysis
UR - http://www.scopus.com/inward/record.url?scp=85093932067&partnerID=8YFLogxK
U2 - 10.1109/LGRS.2019.2953120
DO - 10.1109/LGRS.2019.2953120
M3 - Article
AN - SCOPUS:85093932067
SN - 1545-598X
VL - 17
SP - 1732
EP - 1736
JO - IEEE Geoscience and Remote Sensing Letters
JF - IEEE Geoscience and Remote Sensing Letters
IS - 10
M1 - 8920125
ER -