TY - JOUR
T1 - Ground Maneuvering Target Imaging and High-Order Motion Parameter Estimation Based on Second-Order Keystone and Generalized Hough-HAF Transform
AU - Huang, Penghui
AU - Liao, Guisheng
AU - Yang, Zhiwei
AU - Xia, Xiang Gen
AU - Ma, Jingtao
AU - Zheng, Jibin
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2017/1
Y1 - 2017/1
N2 - This paper proposes a new method to focus a ground moving target with complex motions and estimate its motion parameters in a synthetic aperture radar (SAR) system. In this method, the second-order Keystone transform is applied to correct the range curvature. Then, the Hough transform is applied to estimate the slope of the range walk trajectory, from which the target cross-track velocity is obtained. Finally, a generalized Hough-high-order ambiguity function (GHHAF) transform is applied to transform the target signal into a 2-D time-frequency plane and estimate its slope associated with the third-order Doppler parameter. Compared with the conventional SAR imaging methods using the second-order phase model, the proposed method can obtain better imaging quality since the third-order Doppler frequency migration is effectively eliminated. Both simulated and real data processing results are provided to validate the effectiveness of the proposed algorithm.
AB - This paper proposes a new method to focus a ground moving target with complex motions and estimate its motion parameters in a synthetic aperture radar (SAR) system. In this method, the second-order Keystone transform is applied to correct the range curvature. Then, the Hough transform is applied to estimate the slope of the range walk trajectory, from which the target cross-track velocity is obtained. Finally, a generalized Hough-high-order ambiguity function (GHHAF) transform is applied to transform the target signal into a 2-D time-frequency plane and estimate its slope associated with the third-order Doppler parameter. Compared with the conventional SAR imaging methods using the second-order phase model, the proposed method can obtain better imaging quality since the third-order Doppler frequency migration is effectively eliminated. Both simulated and real data processing results are provided to validate the effectiveness of the proposed algorithm.
KW - Generalized Hough-high-order ambiguity function (GHHAF) transform
KW - ground moving target imaging (GMTIm)
KW - high-order motion parameter estimation
KW - second-order Keystone transform (SOKT)
KW - synthetic aperture radar (SAR)
UR - http://www.scopus.com/inward/record.url?scp=85024383844&partnerID=8YFLogxK
U2 - 10.1109/TGRS.2016.2606436
DO - 10.1109/TGRS.2016.2606436
M3 - Article
AN - SCOPUS:85024383844
SN - 0196-2892
VL - 55
SP - 320
EP - 335
JO - IEEE Transactions on Geoscience and Remote Sensing
JF - IEEE Transactions on Geoscience and Remote Sensing
IS - 1
ER -