论文标题
可调高分辨率合成孔径雷达成像
Tunable high-resolution synthetic aperture radar imaging
论文作者
论文摘要
我们最近引入了多个信号的修改 合成孔径雷达的分类（音乐）方法。这 方法取决于可调的，用户定义的参数， $ε$，可以进行定量的高分辨率成像。它 但是，需要相对较大的单与噪声比（SNR）与 有效工作。在这里，我们首先确定基本机制 用这种产生高分辨率图像的方法。然后我们 对使用相同的Kirchhoff迁移（km）介绍修改 产生可调的高分辨率图像的机制。这修改了 KM方法可以应用于低SNR测量值。我们显示模拟 结果证明了此方法的特征。
We have recently introduced a modification of the multiple signal classification (MUSIC) method for synthetic aperture radar. This method depends on a tunable, user-defined parameter, $ε$, that allows for quantitative high-resolution imaging. It requires however, relative large single-to-noise ratios (SNR) to work effectively. Here, we first identify the fundamental mechanism in that method that produces high-resolution images. Then we introduce a modification to Kirchhoff Migration (KM) that uses the same mechanism to produces tunable, high-resolution images. This modified KM method can be applied to low SNR measurements. We show simulation results that demonstrate the features of this method.
