Azimuth Spatially-Varying Phase Compensation for ISAR Based on Non-Uniform Fast Fourier Transform

Traditional Inverse Synthetic Aperture Radar (ISAR) imaging algorithms overlook the impact of higher-order rotational phase of target echoes, resulting in poor azimuth focusing and challenges in imaging maneuvering targets. To address this issue, this paper proposes a method for compensating azimuth spatially-varying phase errors based on Non-Uniform Fast Fourier Transform (NUFFT). This method establishes a model for the spatially-varying phase errors of maneuvering targets and utilizes the NUFFT technique to accelerate the rapid compensation of azimuth spatially-varying errors (AVSE) in two-dimensional ISAR images, effectively reducing computational complexity and achieving fast focusing of the images. Experimental results demonstrate that this method is effective and robust for ISAR imaging of maneuvering targets.

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Publication Details

Published
2024-12-27
DOI
https://doi.org/10.1109/icvisp64524.2024.10959644
Primary Topic
Optical Systems and Laser Technology
Type
article
Field-Weighted Citation Impact
0.00

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article

Azimuth Spatially-Varying Phase Compensation for ISAR Based on Non-Uniform Fast Fourier Transform

Shuai Shao, Jiabo Fan
Optical Systems and Laser Technology
article

Azimuth Spatially-Varying Phase Compensation for ISAR Based on Non-Uniform Fast Fourier Transform

Shuai Shao, Jiabo Fan
article en

Abstract

Traditional Inverse Synthetic Aperture Radar (ISAR) imaging algorithms overlook the impact of higher-order rotational phase of target echoes, resulting in poor azimuth focusing and challenges in imaging maneuvering targets. To address this issue, this paper proposes a method for compensating azimuth spatially-varying phase errors based on Non-Uniform Fast Fourier Transform (NUFFT). This method establishes a model for the spatially-varying phase errors of maneuvering targets and utilizes the NUFFT technique to accelerate the rapid compensation of azimuth spatially-varying errors (AVSE) in two-dimensional ISAR images, effectively reducing computational complexity and achieving fast focusing of the images. Experimental results demonstrate that this method is effective and robust for ISAR imaging of maneuvering targets.

Xidian University (CN)
National Natural Science Foundation of China, China Postdoctoral Science Foundation, National Key Laboratory Foundation of China
Openalex Percentile: Top 73%
Optical Systems and Laser Technology
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