Multi-Coset Sparse Imaging Arrays
Multi-Coset Sparse Imaging Arrays
复制标题
多陪集稀疏成像阵列
DOI：
10.1109/tap.2014.2299819
复制
发表时间：
2014
影响因子：
5.7
通讯作者：
G. Wornell
中科院分区：
文献类型：
--
作者：
J. Krieger;Yuval Kochman;G. Wornell
我们开发了一种高效的结构化稀疏天线阵列架构，用于对稀疏但未知的场景进行相干成像。在这种架构中，阵列元件被配置在一个周期性的非均匀图案，可以被看作是多个稀疏的均匀子阵列的叠加。对于这样的结构，我们开发了一个有效的模式设计过程中使用的协阵列分析，我们描述了强大的和有效的算法实现所需的相关阵列处理，其中包括现场支持恢复，其次是图像重建。此外，我们开发了一种实用的方法，用于检测重建失败时，场景密度超过了阵列的设计水平，使假图像不会产生。作为其可行性的证明，该架构被用来重建模拟自然场景。
We develop an efficient structured sparse antenna array architecture for coherent imaging of sparse but otherwise unknown scenes. In this architecture, the array elements are configured in a periodic nonuniform pattern that can be viewed as the superposition of multiple sparse uniform subarrays. For such structure, we develop an efficient pattern design procedure using co-array analysis, and we describe robust and efficient algorithms implementing the required associated array processing, which comprise scene support recovery, followed by image reconstruction. In addition, we develop a practical method for detecting reconstruction failures when the scene density exceeds the level for which the array was designed, so that false images are not produced. As a demonstration of its viability, the architecture is used to reconstruct a simulated natural scene.
影响因子：
2.5
作者：
Davies, Mike E.;Eldar, Yonina C.
通讯作者：
Eldar, Yonina C.