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Efficient autofocus of small multi-rotor UAV SAR by minimum entropy BP algorithm
- Source :
- The Journal of Engineering (2019)
- Publication Year :
- 2019
- Publisher :
- Wiley, 2019.
-
Abstract
- Small multi-rotor unmanned aerial vehicles (SMR-UAVs) are a promising platform for low-cost synthetic aperture radar (SAR) systems. However, SMR-UAVs usually suffer from serious position errors due to their unstable motion and low actuary position sensors, and autofocus is an indispensable step for their high-quality imaging. An efficient back-projection autofocus method is proposed for SMR-UAV SAR systems by the principle of minimum entropy. The position error estimation model via minimum entropy is derived. The conjugate-gradient method is used to efficiently estimate the position errors. Moreover, to improve the computing efficiency, the strong scatterer areas are estimated as the input of entropy estimation. The effectiveness of the algorithm is demonstrated using both simulation and experimental data.
- Subjects :
- entropy
gradient methods
synthetic aperture radar
radar imaging
autonomous aerial vehicles
robot vision
minimum entropy bp algorithm
multirotor unmanned aerial vehicles
low-cost synthetic aperture radar systems
unstable motion
low actuary position sensors
high-quality imaging
efficient back-projection autofocus method
smr-uav sar systems
position error estimation model
conjugate-gradient method
computing efficiency
entropy estimation
small multirotor uav sar
minimum entropy principle
scatterer areas
Engineering (General). Civil engineering (General)
TA1-2040
Subjects
Details
- Language :
- English
- ISSN :
- 20513305
- Database :
- Directory of Open Access Journals
- Journal :
- The Journal of Engineering
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.3ebad3b179964c758288f14ec4f67377
- Document Type :
- article
- Full Text :
- https://doi.org/10.1049/joe.2019.0625