Open AccessA method of multi-channel SAR moving target detection and imaging based on complex CNN
Author(s) -
Zhao-Rong Deng,
Xiangyang Zeng,
Weimin Gao,
Hongping Zhang,
Yin-Qiang Xu
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2209/1/012021
Subject(s) - clutter , artificial intelligence , computer science , synthetic aperture radar , computer vision , convolutional neural network , moving target indication , focus (optics) , radar imaging , noise (video) , channel (broadcasting) , stationary target indication , inverse synthetic aperture radar , image (mathematics) , pattern recognition (psychology) , radar , continuous wave radar , physics , telecommunications , optics
Aiming at the problem of the detecting difficulty and imaging the moving target submerged in clutter, a multi-channel Synthetic Aperture Radar (SAR) moving target detection and imaging method based on complex Convolutional Neural Network (CNN) is proposed. First, using Range Doppler algorithm (RDA) to image SAR data to obtain images with clutter, noise and defocused moving targets. Then, the SAR image is used as the input of complex CNN. A SAR image with the clutter and noise eliminated, and the moving target in focus is obtained after processing by neural network. The simulation experiment results show this method is effectiveness.