TY - GEN
T1 - An Airborne Multi-Channel Sar Imaging Method with Motion Compensation
AU - Guo, Jiayi
AU - Chen, Jie
AU - Li, Chunsheng
AU - Yang, Wei
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/7
Y1 - 2019/7
N2 - Azimuth multi-channel technology has been widely used in high-resolution wide-swath synthetic aperture radar (SAR). However, for airborne multi-channel SAR, motion error decreases image quality seriously, including resolution loss and false target appearance. In this paper, a multi-channel SAR imaging method is proposed combined with improved two-step motion compensation. First, multi-channel SAR motion error geometric model is established and the range-invariant channel-dependent phase error is derived. After that the range-dependent phase error for different channels is analyzed in detail. Then, the multi-channel imaging method with motion compensation is addressed. Finally, airborne SAR data is used to validate the proposed method. Processing results show that the proposed method can correct motion error and improve image quality effectively.
AB - Azimuth multi-channel technology has been widely used in high-resolution wide-swath synthetic aperture radar (SAR). However, for airborne multi-channel SAR, motion error decreases image quality seriously, including resolution loss and false target appearance. In this paper, a multi-channel SAR imaging method is proposed combined with improved two-step motion compensation. First, multi-channel SAR motion error geometric model is established and the range-invariant channel-dependent phase error is derived. After that the range-dependent phase error for different channels is analyzed in detail. Then, the multi-channel imaging method with motion compensation is addressed. Finally, airborne SAR data is used to validate the proposed method. Processing results show that the proposed method can correct motion error and improve image quality effectively.
KW - Motion Compensation
KW - Multi-channel
KW - Synthetic Aperture Radar Imaging
UR - https://www.scopus.com/pages/publications/85077704327
U2 - 10.1109/IGARSS.2019.8897836
DO - 10.1109/IGARSS.2019.8897836
M3 - 会议稿件
AN - SCOPUS:85077704327
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 8554
EP - 8557
BT - 2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019
Y2 - 28 July 2019 through 2 August 2019
ER -