Multi-Baseline Bistatic SAR Three-Dimensional Imaging Method Based on Phase Error Calibration Combining PGA and EB-ISOA

被引：0

作者：

He, Jinfeng ^{[1
]}

Xie, Hongtu ^{[1
]}

Liu, Haozong ^{[1
]}

Wu, Zhitao ^{[1
]}

Xu, Bin ^{[1
]}

Zhu, Nannan ^{[2
]}

Lu, Zheng ^{[3
]}

Qin, Pengcheng ^{[4
]}

机构：

[1] Shenzhen Campus Sun Yat Sen Univ, Sch Elect & Commun Engn, Shenzhen 518107, Peoples R China

[2] Sun Yat Sen Univ, Sch Syst Sci & Engn, Guangzhou 510275, Peoples R China

[3] China Acad Space Technol, Inst Remote Sensing Satellite, Beijing 100094, Peoples R China

[4] Army Acad Artillery & Air Def, Dept Weap Engn, Hefei 230031, Peoples R China

来源：

REMOTE SENSING | 2025年 / 17卷 / 03期

基金：

中国博士后科学基金; 中国国家自然科学基金;

关键词：

tomographic synthetic aperture radar (TomoSAR); multi-baseline bistatic synthetic aperture radar (MB BiSAR); three-dimensional (3D) imaging; phase error calibration; phase gradient autofocus (PGA); energy balance intensity-squared optimization autofocus (EB-ISOA); GRADIENT AUTOFOCUS; TOMOGRAPHIC SAR;

D O I：

10.3390/rs17030363

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Tomographic synthetic aperture radar (TomoSAR) is an advanced three-dimensional (3D) synthetic aperture radar (SAR) imaging technology that can obtain multiple SAR images through multi-track observations, thereby reconstructing the 3D spatial structure of targets. However, due to system limitations, the multi-baseline (MB) monostatic SAR (MonoSAR) encounters temporal decorrelation issues when observing the scene such as forests, affecting the accuracy of the 3D reconstruction. Additionally, during TomoSAR observations, the platform jitter and inaccurate position measurement will contaminate the MB SAR data, which may result in the multiplicative noise with phase errors, thereby leading to the decrease in the imaging quality. To address the above issues, this paper proposes a MB bistatic SAR (BiSAR) 3D imaging method based on the phase error calibration that combines the phase gradient autofocus (PGA) and energy balance intensity-squared optimization autofocus (EB-ISOA). Firstly, the signal model of the MB one-stationary (OS) BiSAR is established and the 3D imaging principle is presented, and then the phase error caused by platform jitter and inaccurate position measurement is analyzed. Moreover, combining the PGA and EB-ISOA methods, a 3D imaging method based on the phase error calibration is proposed. This method can improve the accuracy of phase error calibration, avoid the vertical displacement, and has the noise robustness, which can obtain the high-precision 3D BiSAR imaging results. The experimental results are shown to verify the effectiveness and practicality of the proposed MB BiSAR 3D imaging method.

引用

页数：29