A Fast Frequency Domain Approach Based on Gaussian Prior for Forward-Looking Scanning Radar Imaging

Real aperture radar (RAR) has a limited aperture of the antenna resulting in a low azimuthal resolution. To improve the azimuthal resolution, the L 2 regularization method is applied to the forward-looking scanning radar imaging. However, the traditional L 2 regularization method requires an inverse...

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Bibliographic Details
Main Authors: Yang, Shuifeng, Shen, Jiahao, Mao, Deqing, Zhang, Yin, Huang, Yulin, Yang, Jianyu, Yang, Jiaxin
Format: Conference Proceeding
Language:English
Subjects:
Convolution
Fast Fourier transforms
fast frequency domain approach
Forward-looking scanning radar
Frequency-domain analysis
Gaussian prior
Geoscience and remote sensing
Image resolution
Imaging
L2 regularization
Transforms
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Summary:Real aperture radar (RAR) has a limited aperture of the antenna resulting in a low azimuthal resolution. To improve the azimuthal resolution, the L 2 regularization method is applied to the forward-looking scanning radar imaging. However, the traditional L 2 regularization method requires an inverse operation, which results in extremely low imaging efficiency. In this paper, we propose a fast frequency domain approach based on Gaussian prior for forward-looking scanning radar imaging. This method transforms the spatial domain inverse convolution problem to the frequency domain and avoids matrix inverse. The fast Fourier transform implementation greatly improves imaging efficiency. The simulation experiments demonstrate the effectiveness of the proposed method.
ISSN:2153-7003
DOI:10.1109/IGARSS53475.2024.10642938