Two-Stage Correction for Wavefront Curvature Effects of PFA in Focusing Nonideal Circular SAR Data

IF 5.7 2区 计算机科学 Q1 ENGINEERING, AEROSPACE IEEE Transactions on Aerospace and Electronic Systems Pub Date : 2024-09-03 DOI:10.1109/TAES.2024.3453221
Shengliang Han;Daiyin Zhu;Xinhua Mao
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Abstract

Although the polar-format algorithm (PFA) provides high computational efficiency in spotlight synthetic aperture radar imaging, it is still constrained to applications with large scene size requirements due to the unconsidered wavefront curvature effects. To solve this problem, a two-stage correction algorithm is proposed in this article to mitigate the image deterioration caused by planar wavefront approximation. Through analyzing the distribution characteristics of the quadratic wavefront curvature phase error (QWCPE) for a nonideal circular flight path with different elevation angles, the 2-D space-variant compensation problem is separated into two 1-D compensation. Based on the aforementioned analysis, the QWCPE is first assumed to be associated only with the distorted coordinates of the target, and the first-stage correction is applied to every range gate before the azimuth fast Fourier transform operation of the PFA. Then, the residual QWCPE after the first-stage correction (RQWCPE-1) is assumed to be associated only with the distorted azimuth coordinates of the target; to correct this error, the image after the first-stage compensation is separated into multiple subblocks along the azimuth direction; for each azimuth subblock, the RQWCPE-1 can be regarded as space invariant and corrected by constructing a filter according to the subblock center. Finally, all the subblocks are mosaicked together to generate the final refocused image. Simulated and real data experiments are performed to verify the performance of the proposed algorithm.
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在聚焦非理想圆形合成孔径雷达数据时对 PFA 的波前曲率效应进行两阶段校正
虽然偏振格式算法(PFA)在聚束合成孔径雷达成像中提供了很高的计算效率,但由于未考虑波前曲率效应,它在场景尺寸要求较大的应用中仍然受到限制。为了解决这一问题,本文提出了一种两级校正算法,以减轻平面波前近似引起的图像劣化。通过分析不同仰角非理想圆航迹的二次波前曲率相位误差(QWCPE)分布特性,将二维空变补偿问题分解为两个一维补偿问题。基于上述分析,首先假定QWCPE仅与目标的畸变坐标相关联,并在PFA的方位角快速傅里叶变换运算之前对每个距离门进行第一级校正。然后,假设第一阶段校正后的残差QWCPE (RQWCPE-1)仅与目标的畸变方位角坐标相关;为了纠正这一误差,将第一阶段补偿后的图像沿方位角方向分割成多个子块;对于每个方位子块,RQWCPE-1可视为空间不变性,并根据子块中心构造滤波器进行校正。最后,将所有子块拼接在一起,生成最终的重聚焦图像。仿真实验和实际数据实验验证了该算法的有效性。
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来源期刊
CiteScore
7.80
自引率
13.60%
发文量
433
审稿时长
8.7 months
期刊介绍: IEEE Transactions on Aerospace and Electronic Systems focuses on the organization, design, development, integration, and operation of complex systems for space, air, ocean, or ground environment. These systems include, but are not limited to, navigation, avionics, spacecraft, aerospace power, radar, sonar, telemetry, defense, transportation, automated testing, and command and control.
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