前视阵列SAR回波稀疏采样及其三维成像方法

发布时间：2018-05-04 16:50

本文选题：三维成像 + 前视阵列SAR　；参考：《电子学报》2017年01期

【摘要】：针对高分辨前视阵列SAR三维成像系统面临的距离采样率高和回波数据量大的问题,本文利用地面散射源在三维空间中的稀疏性,提出距离频域和沿航向时域二维稀疏采样并稀疏重构地面三维图像的方法.从前视阵列SAR角度观察三维地面,地面散射源在距离向和沿航向二维空间中是稀疏的,在该二维方向上联合稀疏采样有望实现最佳的稀疏采样效果.为避免距离向时域稀疏采样造成的三维成像复杂化,提出利用子脉冲结合距离频域稀疏采样的方法来实现距离向稀疏采样.同时,结合地面散射源连续性特点,提出低信噪比情况下稳健的信号重构方法.与传统三维匹配滤波成像方法相比,本方法降低了距离采样率和回波数据量,并直接重构地面散射源信息以实现三维成像.
[Abstract]:Aiming at the problems of high range sampling rate and large amount of echo data in high resolution foresight array SAR 3D imaging system, this paper makes use of the sparsity of ground scattering source in three dimensional space. This paper presents a method of sparse sampling and sparse reconstruction of 3D ground images in range frequency domain and along the course of time domain. The ground scattering source is sparse in the two dimensional space of distance direction and course direction, and the combined sparse sampling in this two-dimensional direction is expected to achieve the best sparse sampling effect. In order to avoid the complication of 3D imaging caused by range time domain sparse sampling, a method of using subpulse and range frequency domain sparse sampling to realize range sparse sampling is proposed. At the same time, a robust signal reconstruction method with low signal-to-noise ratio (SNR) is proposed. Compared with the traditional 3D matched filtering method, this method reduces the range sampling rate and echo data, and directly reconstructs the ground scattering source information to realize 3D imaging.
【作者单位】：西安通信学院;长安大学信息工程学院;
【基金】：国家自然科学基金(No.61101243,No.61101238,No.61640006) 陕西省自然科学基金(No.2014JQ8300,No.2015JM6307)
【分类号】：TN957.52

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