High-Precision Microwave Photonic ISAR Imaging Method Based on Spatially Variant Doppler Parameter Clustering

被引：0

作者：

Li, Jun-Yan ^{[1
]}

Yang, Qing ^{[1
]}

Li, Zhong-Yu ^{[1
]}

Wu, Jun-Jie ^{[1
]}

Wang, An-Le ^{[2
]}

Wang, Dang-Wei ^{[2
]}

Yang, Jian-Yu ^{[1
]}

机构：

[1] School of Information and Communication Engineering, University of Electronic Science and Technology of China, Sichuan, Chengdu

[2] Air Force Early Warning Academy, Hubei, Wuhan

来源：

Tien Tzu Hsueh Pao/Acta Electronica Sinica | 2024年 / 52卷 / 12期

基金：

中国国家自然科学基金;

关键词：

Doppler parameter clustering; inverse synthetic aperture radar (ISAR); microwave photonic radar; ship imaging; three-dimensional spatial variability;

D O I：

10.12263/DZXB.20240442

中图分类号：

学科分类号：

摘要：

Due to its large bandwidth and high resolution in the range dimension, microwave photonic radar enables finer information extraction for important targets such as ships through inverse synthetic aperture radar (ISAR) imaging, which is crucial for maritime surveillance. However, under the ultra-high resolution characteristics, the three-dimensional spatially variant Doppler parameters caused by target rotation can lead to image defocusing. In two-dimensional echo domain imaging, regional compensation processing is necessary, but existing methods cannot achieve adaptive regional segmentation, making it difficult to achieve two-dimensional ultra-high resolution imaging. To address these issues, this paper proposes a high-precision microwave photonic ISAR imaging method based on spatially variant Doppler parameter clustering. Firstly, the echo model of microwave photonic ISAR ship target is established, and the three-dimensional spatial variability characteristics of Doppler parameters are derived. The necessity of two-dimensional regional compensation processing is analyzed. Then, by separating strong scattering points, adaptive estimation and interpolation of Doppler parameters, a mapping relationship between each scattering point of the target and the two-dimensional Doppler parameter is established. Clustering processing in the two-dimensional Doppler parameter domain is performed to achieve adaptive optimal segmentation of spatially variant Doppler parameters, laying the foundation for high-precision regional compensation processing. Finally, regional non-spatially variant two-dimensional phase consistency compensation processing is carried out to achieve ultra-high resolution imaging of microwave photonic ISAR. The effectiveness of this method is validated through simulation and experimental data processing. © 2024 Chinese Institute of Electronics. All rights reserved.

引用

页码：3941 / 3956

页数：15