TY - GEN
T1 - An Omega-K imaging algorithm for translational invariant bistatic FMCW SAR
AU - Bao, Yi
AU - Li, Zhongyu
AU - Wu, Junjie
AU - Huang, Yulin
AU - Yang, Jianyu
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/11/4
Y1 - 2014/11/4
N2 - The combination of frequency-modulated continuous-wave (FMCW) technology and bistatic synthetic aperture radar (SAR) promises a small, light-weight, cost-effective and high-resolution remote sensing system. In this paper, an Omega-k imaging algorithm based on linearization theory to focus the raw data of translational invariant (TI) bistatic FM-CW SAR is proposed. This method utilizes a bistatic point target reference spectrum (BPTRS) of generalized Loffeld's bistatic formula (GLBF), where the motion during the long signal duration time is taken into account. The proposed BPTRS significantly simplify the TI bistatic FMCW SAR processing. Based on the spatial linearization of GLBF, the Stolt transformation is further derived. Finally, simulation experiments are carried out to verify the effectiveness of the proposed method.
AB - The combination of frequency-modulated continuous-wave (FMCW) technology and bistatic synthetic aperture radar (SAR) promises a small, light-weight, cost-effective and high-resolution remote sensing system. In this paper, an Omega-k imaging algorithm based on linearization theory to focus the raw data of translational invariant (TI) bistatic FM-CW SAR is proposed. This method utilizes a bistatic point target reference spectrum (BPTRS) of generalized Loffeld's bistatic formula (GLBF), where the motion during the long signal duration time is taken into account. The proposed BPTRS significantly simplify the TI bistatic FMCW SAR processing. Based on the spatial linearization of GLBF, the Stolt transformation is further derived. Finally, simulation experiments are carried out to verify the effectiveness of the proposed method.
KW - Bistatic Frequency-modulated Continuous-wave Synthetic Aperture Radar
KW - Generalized Loffeld's bistatic formula
KW - Omega-k algorithm
KW - Stolt transformation
KW - Translational Invariant
UR - https://www.scopus.com/pages/publications/84911391379
U2 - 10.1109/IGARSS.2014.6947063
DO - 10.1109/IGARSS.2014.6947063
M3 - 会议稿件
AN - SCOPUS:84911391379
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 2822
EP - 2825
BT - International Geoscience and Remote Sensing Symposium (IGARSS)
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - Joint 2014 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2014 and the 35th Canadian Symposium on Remote Sensing, CSRS 2014
Y2 - 13 July 2014 through 18 July 2014
ER -