论文标题
SAR断层扫描中的超级分辨多个散点子检测，由相关信息辅助
Super-resolving multiple scatterers detection in SAR Tomography assisted by correlation information
论文作者
论文摘要
本文提出了一种检测合成孔径雷达（SAR）断层扫描的高度方向上多个散射器（目标）的方法。所提出的方法可以通过TwoStep程序解决紧密间隔的目标。在第一步中，使用连续的取消方案进行粗略检测，其中标记了目标的位置。然后，在第二步中，通过在较小的搜索空间中进行搜索，该搜索空间精细10，可以找到目标的准确位置。为了估计目标的实际数量，模型选择方案用于两种已知和未知噪声方差的情况。同样，通过对所提出方法检测概率进行分析研究，有影响力参数对检测能力的影响得到明确证明。与基于压缩传感（CS）的超分辨率方法相比，所提出的方法具有较低的计算成本和较高的估计精度，尤其是在低信噪比的比率方面。 15模拟结果表明，根据3D散射器重建和检测能力，该方法的优越性
This paper proposes a method for detecting multiple scatterers (targets) in the elevation direction for synthetic aperture radar (SAR) tomography. The proposed method can resolve closely spaced targets through a twostep procedure. In the first step, coarse detection is performed with a successive cancellation scheme in which possible locations of targets are marked. Then, in the second step, by searching in the reduced search space which is finely 10 gridded, the accurate location of the targets is found. For estimating the actual number of targets, a model order selection scheme is used in two cases of known and unknown noise variance. Also, by analytical investigation of the probability of detection for the proposed method, the effect of the influential parameters on the detection ability is explicitly demonstrated. Compared to the super-resolution methods based on compressed sensing (CS), the proposed method has a lower computational cost and higher estimation accuracy, especially at low signal-to-noise ratio regime. 15 Simulation results show the superiority of the proposed method in terms of both 3D scatterer reconstruction and detection ability
