TY - GEN
T1 - An Improved Imaging Algorithm for Airborne Near-Nadir Tops SAR with YAW Angle Error
AU - Li, Han
AU - Suo, Zhiyong
AU - Zheng, Chengxin
AU - Zhang, Jinqiang
AU - Li, Zhenfang
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/9/26
Y1 - 2020/9/26
N2 - Combined with Terrain Observation by Progressive Scans (TOPS) Synthetic Aperture Radar (SAR), Near-nadir Interferometry SAR (NInSAR) has great potential on the Surface Water and Ocean Topography (SWOT) observation. One practical problem is that the Doppler center of airborne NInSAR varies along range and its bandwidth is greater than pulse repeat frequency (PRF) due to the affection of yaw angle error. Traditional imaging algorithms divide the data into several range blocks so that the range variation of Doppler center is ignorable. However, the drawback is that the size and the overlap of the blocks are hard to design. In this paper, an improved image algorithm without range block is proposed. The main procedure is to obtain unambiguous azimuth spectrum and design appropriate range varied azimuth filter through frequency chirp scaling algorithm. The good performance of the proposed algorithm is demonstrated through point target simulation and real data.
AB - Combined with Terrain Observation by Progressive Scans (TOPS) Synthetic Aperture Radar (SAR), Near-nadir Interferometry SAR (NInSAR) has great potential on the Surface Water and Ocean Topography (SWOT) observation. One practical problem is that the Doppler center of airborne NInSAR varies along range and its bandwidth is greater than pulse repeat frequency (PRF) due to the affection of yaw angle error. Traditional imaging algorithms divide the data into several range blocks so that the range variation of Doppler center is ignorable. However, the drawback is that the size and the overlap of the blocks are hard to design. In this paper, an improved image algorithm without range block is proposed. The main procedure is to obtain unambiguous azimuth spectrum and design appropriate range varied azimuth filter through frequency chirp scaling algorithm. The good performance of the proposed algorithm is demonstrated through point target simulation and real data.
KW - Frequency Chirp Scaling
KW - Near-nadir Interferometry SAR
KW - Terrain Observation by Progressive Scans Synthetic Aperture Radar
KW - yaw angle error
UR - https://www.scopus.com/pages/publications/85102001109
U2 - 10.1109/IGARSS39084.2020.9324675
DO - 10.1109/IGARSS39084.2020.9324675
M3 - Conference contribution
AN - SCOPUS:85102001109
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 2113
EP - 2116
BT - 2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020
Y2 - 26 September 2020 through 2 October 2020
ER -