TY - JOUR
T1 - Velocity Estimation of Multiple Moving Targets in Single-Channel Geosynchronous SAR
AU - Melzi, Mounir
AU - Hu, Cheng
AU - Dong, Xichao
AU - Li, Yuanhao
AU - Cui, Chang
N1 - Publisher Copyright:
© 1980-2012 IEEE.
PY - 2020/8
Y1 - 2020/8
N2 - Despite the increasing interest in geosynchronous synthetic aperture radar (GEO SAR) systems, the ground moving target indication and motion parameters estimation aspect have never been addressed in GEO SAR scenarios. In this article, we tackle the issue of multiple moving target velocity estimation in GEO SAR. We develop new closed-form expressions that relate both Doppler centroid and Doppler rate to the target motion parameters in GEO SAR by considering the specific features of a geosynchronous orbit. Furthermore, we propose a new velocity estimation algorithm that combines the nonuniform cubic phase function (NU-CPF) algorithm with the newly developed models to estimate the moving target's two velocity components. Moreover, based on the abovementioned technique, we further propose a solution to address the multiple moving targets' problem. Simulation results along with an estimation accuracy analysis are provided to demonstrate the effectiveness of the proposed multitarget GEO SAR velocity estimation technique.
AB - Despite the increasing interest in geosynchronous synthetic aperture radar (GEO SAR) systems, the ground moving target indication and motion parameters estimation aspect have never been addressed in GEO SAR scenarios. In this article, we tackle the issue of multiple moving target velocity estimation in GEO SAR. We develop new closed-form expressions that relate both Doppler centroid and Doppler rate to the target motion parameters in GEO SAR by considering the specific features of a geosynchronous orbit. Furthermore, we propose a new velocity estimation algorithm that combines the nonuniform cubic phase function (NU-CPF) algorithm with the newly developed models to estimate the moving target's two velocity components. Moreover, based on the abovementioned technique, we further propose a solution to address the multiple moving targets' problem. Simulation results along with an estimation accuracy analysis are provided to demonstrate the effectiveness of the proposed multitarget GEO SAR velocity estimation technique.
KW - Cubic phase function (CPF)
KW - geosynchronous synthetic aperture radar (GEO SAR)
KW - ground moving target velocity estimation (GMTVE)
UR - http://www.scopus.com/inward/record.url?scp=85086452679&partnerID=8YFLogxK
U2 - 10.1109/TGRS.2020.2971853
DO - 10.1109/TGRS.2020.2971853
M3 - Article
AN - SCOPUS:85086452679
SN - 0196-2892
VL - 58
SP - 5861
EP - 5879
JO - IEEE Transactions on Geoscience and Remote Sensing
JF - IEEE Transactions on Geoscience and Remote Sensing
IS - 8
M1 - 9011604
ER -