Research Initiation: Model-Based Statistical Array Signal Processing for High Resolution Imaging

本项目关注的是在传感器阵列的高分辨率成像算法中使用参数模型。两个主要目标是：(1)描述基本的性能限制，以及(2)开发新的图像采集和处理优化算法，利用信号的底层物理模型和关于目标的可用先验知识。我们将着重讨论这些演算法的VLSI实作方面。应用领域包括雷达和声纳合成孔径成像、射电天文学和声学医学成像。

This project is concerned with the use of parametric models in high resolution imaging algorithms for sensor arrays. The two primary objectives are: (1) to characterize fundamental performance limitations, and (2) develop novel optimal algorithms for image acquisition and processing that exploit the underlying physical models for the signal and available prior knowledge about the target. The VLSI implementation aspects of the algorithms will be emphasized. Application areas include radar and sonar synthetic aperture imaging, radio-astronomy, and acoustical medical imaging.