TY - GEN
T1 - A novel spaceborne SAR imaging mode for moving target velocity estimation
AU - Yang, Wei
AU - Ma, Xiaocong
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2017/1/17
Y1 - 2017/1/17
N2 - In this paper, a novel spaceborne SAR imaging mode is proposed. In this mode, sensor illuminates the scene with different azimuth squint angles and obtains a series of sequential images. According to the working mechanism of the mode, the geometry model is built first. Based on the geometry model, the characteristics of signal are analyzed in detail, which reveals principle of velocity estimation. Moreover, combined with image formation processing algorithm, moving target velocity estimation method is present. Furthermore, some conclusions are drawn and discussed. Finally, simulation data and TerraSAR-X real data are used for verifying the validity of the method.
AB - In this paper, a novel spaceborne SAR imaging mode is proposed. In this mode, sensor illuminates the scene with different azimuth squint angles and obtains a series of sequential images. According to the working mechanism of the mode, the geometry model is built first. Based on the geometry model, the characteristics of signal are analyzed in detail, which reveals principle of velocity estimation. Moreover, combined with image formation processing algorithm, moving target velocity estimation method is present. Furthermore, some conclusions are drawn and discussed. Finally, simulation data and TerraSAR-X real data are used for verifying the validity of the method.
KW - SAR
KW - azimuth multi-Angles
KW - sequential images
KW - velocity estimation
UR - https://www.scopus.com/pages/publications/85013844434
U2 - 10.1109/ICCAIS.2016.7822427
DO - 10.1109/ICCAIS.2016.7822427
M3 - 会议稿件
AN - SCOPUS:85013844434
T3 - 2016 International Conference on Control, Automation and Information Sciences, ICCAIS 2016
SP - 13
EP - 16
BT - 2016 International Conference on Control, Automation and Information Sciences, ICCAIS 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th International Conference on Control, Automation and Information Sciences, ICCAIS 2016
Y2 - 27 October 2016 through 29 October 2016
ER -