Efficient autofocus of small multi-rotor UAV SAR by minimum entropy BP algorithm

Efficient autofocus of small multi-rotor UAV SAR by minimum entropy BP algorithm

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...

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Bibliographic Details
Main Authors: Hao Su, Shunjun Wei, Xiaoling Zhang, Limin Pu, Xiaoliang Yang
Format: Article
Language:English
Published: Wiley 2019-10-01
Series:The Journal of Engineering
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
Online Access:https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0625

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https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0625

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