Focus High-Resolution Highly Squint SAR Data Using Azimuth-Variant Residual RCMC and Extended Nonlinear Chirp Scaling Based on a New Circle Model

Focus High-Resolution Highly Squint SAR Data Using Azimuth-Variant Residual RCMC and Extended Nonlinear Chirp Scaling Based on a New Circle Model
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基于新圆模型,使用方位角变化残差 RCMC 和扩展非线性线性调频缩放来聚焦高分辨率高斜视 SAR 数据

DOI:
10.1109/lgrs.2018.2800105
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发表时间:
2018-03
影响因子:
4.8
通讯作者:
Zhang Jianwu
Zhang Jianwu
中科院分区:
工程技术2区
文献类型:
--
作者:
Zhong Hua;Zhang Yanjun;Chang Yuliang;Liu Erxiao;Tang Xianghong;Zhang Jianwu

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线性距离走动校正和Keystone变换相结合是高分辨率大斜视合成孔径雷达(SAR)数据聚焦的一种很好的选择,因为它是完全消除距离单元线性偏移(RCM)和缓解距离-方位向耦合的有效方法。然而,这种成像算法的结果会产生二维变化的残差RCM和与变化相关的多普勒相位。为了获得高质量的合成孔径雷达图像,本文提出了一种基于方位向变化的残差RCM校正(RCMC)和扩展的非线性Chirp尺度(ENLCS)的改进成像算法。建立了一种新的圆模型来分析剩余高阶RCM和多普勒相位的方位变化特性。基于该圆模型,通过相乘四阶相位函数实现了一种方位可变的残差RCMC,并推导出一种改进的ENLCS来完成方位向压缩的方位向均衡。仿真结果验证了该算法的优良性能。
The combination of linear range walk correction and keystone transform is a good choice to focus high-resolution highly squint synthetic aperture radar (SAR) data because it is an effective way to remove linear range cell migration (RCM) completely and mitigate range–azimuth coupling. However, the results of this kind of imaging algorithm produce 2-D-variant residual RCM and variant-dependence Doppler phases. To obtain high-quality SAR image, an improved imaging algorithm using an azimuth-variant residual RCM correction (RCMC) and an extended nonlinear chirp scaling (ENLCS) is proposed in this letter. A new circle model is constructed to analyze the azimuth-variant properties of the residual high-order RCM and the Doppler phases. Based on this circle model, an azimuth-variant residual RCMC is implemented by multiplying a fourth-order phase function, and an improved ENLCS is derived to accomplish the azimuth equalization for azimuth compression. Simulation results validate the excellent performance of the proposed algorithm.
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