A New algorithm improving SAR resolution based on SVA

A New algorithm improving SAR resolution based on SVA
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基于SVA的SAR分辨率提高新算法

DOI：
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发表时间：
2009
期刊：
影响因子：
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通讯作者：
Ruliang Yang
Ruliang Yang
中科院分区：
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文献类型：
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作者：
Ping Zhang;J. Shang;Ruliang Yang

文献摘要

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近年来，雷达成像中的分辨率增强技术引起了人们极大的兴趣。提出了一种基于SVA技术的提高SAR分辨率和抑制旁瓣的新方法。空间变迹是一种在不损失主瓣分辨率的前提下的非线性旁瓣抑制方法。SVA后的信号带宽外推，这是分辨率增强的基础。一个反权重函数被用来均衡SVA频谱。一个修改的非整数奈奎斯特空间变迹（SVA）制定外推后抑制旁瓣。ID案例和2D案例的示例展示了图像分辨率的增强和旁瓣的减少。（共4页）
Resolution enhancement techniques in radar imaging have attracted considerable interest in recent years. The paper develops a new technique enhancing SAR resolution as well as suppressing sidelobes based on SVA technique. Spatially variant apodization (SVA) is a nonlinear sidelobe reduction method without lose the resolution of mainlobe. The signal bandwidth is extrapolated after SVA, which is the basis of resolution enhancement. An inverse weight function is used to equalize the SVA spectrum. A modified noninteger Nyquist spatially variant apodization (SVA) formulation is used to suppress sidelobes after extrapolation. Examples of ID case and 2D case demonstrate enhanced image resolution with sidelobe reduction. (4 pages)