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A Novel Motion Compensation Algorithm Based on Motion Sensitivity Analysis for Mini-UAV-Based BiSAR System

delete2022-01-01
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PRE
AI
Z
Zhanze Wang
刘飞峰 cover
刘飞峰 (Feifeng Liu) *
T
Tao Zeng
C
Chenghao Wang
DOI:10.1109/TGRS.2021.3071460delete
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Abstract

Abstract

En 中文
Mini-unmanned aerial vehicle (UAV)-based bistatic synthetic aperture radar (BiSAR) is widely used due to its flexibility of system topology selection and simplicity. However, the motion compensation (MOCO) of the system is more difficult because the perturbance of mini-UAV platforms is greater and the spatial variance is more complex. In addition, the degrees of freedom of motion error are twice as those of the monostatic SAR. In this article, a novel MOCO algorithm based on a motion sensitivity model is proposed. First, a BiSAR system motion sensitivity model is established to assess the importance of each motion component error. Second, a novel MOCO method is proposed based on the determination of the main motion errors. Third, the proposed algorithm is validated by both simulations and real data sets. The final well-focused image suggests that the variant phase error after compensation with the new algorithm is much smaller than that with the traditional one.
Keywords:
Synthetic aperture radar
Transmitters
Receivers
TV
Trajectory
Doppler effect
Focusing
Degrees of freedom (DOFs) of motion error
mini-unmanned aerial vehicle (UAV)-based bistatic synthetic aperture radar (BiSAR)
trajectories motion error estimate
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Journal

IEEE Transactions on Geoscience and Remote Sensing cover
IEEE Transactions on Geoscience and Remote Sensing
IF:
8.6
Papers:
2.1W
Citations:
10.7W

Organization

B
beijing institute of technology
Scholars:
5.5W
Papers: 4.0W
Citations: 63