TY - GEN
T1 - Spaceborne Large-Squint Terrain-Matching Synthetic Aperture Radar
T2 - 6th Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2019
AU - Wang, Yan
AU - Li, Zhe
AU - DIng, Zegang
AU - Zeng, Tao
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/11
Y1 - 2019/11
N2 - This paper discusses a new spaceborne large-squint terrain-matching synthetic aperture radar (LSTM-SAR) to effectively image the terrains that do not spread along satellite orbit. Different from the traditional spaceborne SAR, the swath of the LSTM-SAR spreads along the target terrain, instead of the satellite orbit, to perform terrain-matched imaging with both high resolution and short data acquisition period. Aiming at giving a sketch of how the LSTM-SAR works, the paper focuses on discussing the following three main aspects: the data acquisition geometry, azimuth sampling manner and raw data focusing algorithm. Specifically, an optimum squint geometry is firstly suggested for two dimensional swath optimization; then two non-uniform azimuth sampling methods are discussed to avoid data loss induced by transmission blockage; lastly, a wide nonlinear chirp scaling based algorithm is discussed to focus the spatially variant spaceborne LSTM-SAR echo. The presented approach is validated via the computer simulations.
AB - This paper discusses a new spaceborne large-squint terrain-matching synthetic aperture radar (LSTM-SAR) to effectively image the terrains that do not spread along satellite orbit. Different from the traditional spaceborne SAR, the swath of the LSTM-SAR spreads along the target terrain, instead of the satellite orbit, to perform terrain-matched imaging with both high resolution and short data acquisition period. Aiming at giving a sketch of how the LSTM-SAR works, the paper focuses on discussing the following three main aspects: the data acquisition geometry, azimuth sampling manner and raw data focusing algorithm. Specifically, an optimum squint geometry is firstly suggested for two dimensional swath optimization; then two non-uniform azimuth sampling methods are discussed to avoid data loss induced by transmission blockage; lastly, a wide nonlinear chirp scaling based algorithm is discussed to focus the spatially variant spaceborne LSTM-SAR echo. The presented approach is validated via the computer simulations.
KW - LSTM-SAR
KW - non-uniform azimuth sampling
KW - nonlinear chirp scaling algorithm
KW - optimum squint geometry
UR - http://www.scopus.com/inward/record.url?scp=85083497193&partnerID=8YFLogxK
U2 - 10.1109/APSAR46974.2019.9048560
DO - 10.1109/APSAR46974.2019.9048560
M3 - Conference contribution
AN - SCOPUS:85083497193
T3 - 2019 6th Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2019
BT - 2019 6th Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2019
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 26 November 2019 through 29 November 2019
ER -