SAR Simultaneous Localization and Imaging Method Based on Closed-Loop Structure Along Arc-Line Motion

IF 8.6 1区 地球科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Transactions on Geoscience and Remote Sensing Pub Date : 2025-02-19 DOI:10.1109/TGRS.2025.3537761
Zhuo Xu;Yongping Song;Leping Chen;Jiahua Zhu;Pengyu Zhang;Daoxiang An;Tian Jin
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Abstract

In order to adapt to various detection environments on the ground, airborne synthetic aperture radar (SAR) as a remote sensing platform usually arcs along nonlinear trajectories, and the large accumulation angle in the circling process also improves the imaging effect. However, the arc motion demands rigorous control of the flying platform and precise measurement of the motion. In some cases, there is a significant discrepancy between the track recorded by the flight platform and the actual track, which not only affects the imaging effect but also interferes with the positioning and navigation of the platform. This article presents a new method of arc-line SAR positioning and imaging based on a closed-loop structure. The echo history extracted from a 1-D range profile is corrected using an echo-history correction factor (EHCF), which reduces the self-positioning error of the platform caused by the motion measurement device. This allows for accurate positioning of the flying platform and the acquisition of imaging results with superior focusing performance. The effectiveness and stability of the proposed method are proven by simulation and experimental results.
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基于圆弧运动闭环结构的SAR同步定位与成像方法
为了适应地面各种探测环境,机载合成孔径雷达(SAR)作为遥感平台通常沿非线性轨迹进行圆弧,圆弧过程中的大积累角也提高了成像效果。然而,电弧运动要求对飞行平台进行严格的控制和精确的运动测量。在某些情况下,飞行平台记录的航迹与实际航迹存在较大差异,不仅影响成像效果,还会干扰平台的定位和导航。提出了一种基于闭环结构的弧线SAR定位成像新方法。利用回声历史校正因子(EHCF)对1-D距离剖面提取的回波历史进行校正,减小了运动测量装置引起的平台自定位误差。这使得飞行平台的精确定位和成像结果的获取具有优越的聚焦性能。仿真和实验结果验证了该方法的有效性和稳定性。
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来源期刊
IEEE Transactions on Geoscience and Remote Sensing
IEEE Transactions on Geoscience and Remote Sensing 工程技术-地球化学与地球物理
CiteScore
11.50
自引率
28.00%
发文量
1912
审稿时长
4.0 months
期刊介绍: IEEE Transactions on Geoscience and Remote Sensing (TGRS) is a monthly publication that focuses on the theory, concepts, and techniques of science and engineering as applied to sensing the land, oceans, atmosphere, and space; and the processing, interpretation, and dissemination of this information.
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