TY - JOUR
T1 - An omega-K algorithm for translational invariant bistatic SAR based on generalized loffeld's bistatic formula
AU - Wu, Junjie
AU - Li, Zhongyu
AU - Huang, Yulin
AU - Yang, Jianyu
AU - Liu, Qing Huo
PY - 2014/10
Y1 - 2014/10
N2 - In this paper, an omega-K imaging algorithm to focus the raw data of translational invariant (TI) bistatic synthetic aperture radar (BSAR) is proposed. The method utilizes a point target reference spectrum of generalized Loffeld's bistatic formula (GLBF). Without the bistatic deformation term, GLBF is the latest development of Loffeld's bistatic formula. It is comparable in precision with the method of series reversion (MSR), but it has a much simpler form than MSR and a similar form to a monostatic case. Based on the spatial linearization of GLBF, the Stolt transformation relationship is derived. The method can consider the linear spatial variation of Doppler parameters, which is always ignored in previous publications about bistatic omega-K algorithms. This method can handle the cases of TI BSAR with high squint angles and large bistatic degrees. In addition, a compensation method for the phase error caused by the linearization is discussed. Numerical simulations and experimental data processing verify the effectiveness of the proposed method.
AB - In this paper, an omega-K imaging algorithm to focus the raw data of translational invariant (TI) bistatic synthetic aperture radar (BSAR) is proposed. The method utilizes a point target reference spectrum of generalized Loffeld's bistatic formula (GLBF). Without the bistatic deformation term, GLBF is the latest development of Loffeld's bistatic formula. It is comparable in precision with the method of series reversion (MSR), but it has a much simpler form than MSR and a similar form to a monostatic case. Based on the spatial linearization of GLBF, the Stolt transformation relationship is derived. The method can consider the linear spatial variation of Doppler parameters, which is always ignored in previous publications about bistatic omega-K algorithms. This method can handle the cases of TI BSAR with high squint angles and large bistatic degrees. In addition, a compensation method for the phase error caused by the linearization is discussed. Numerical simulations and experimental data processing verify the effectiveness of the proposed method.
KW - Bistatic synthetic aperture radar (BSAR)
KW - Generalized Loffeld's bistatic formula (GLBF)
KW - Omega-K algorithm
KW - Stolt transformation
UR - https://www.scopus.com/pages/publications/84901857321
U2 - 10.1109/TGRS.2014.2301433
DO - 10.1109/TGRS.2014.2301433
M3 - 文章
AN - SCOPUS:84901857321
SN - 0196-2892
VL - 52
SP - 6699
EP - 6714
JO - IEEE Transactions on Geoscience and Remote Sensing
JF - IEEE Transactions on Geoscience and Remote Sensing
IS - 10
M1 - 6787032
ER -