Enhanced Through-Wall Imaging using Bayesian Compressive Sensing

这个项目的目的是开发雷达成像技术，使我们能够‘看到’墙后的物体和不透明的材料。计划的主要突破是能够在不访问场景的情况下对墙后和建筑物内或封闭结构中的对象进行成像。基于贝叶斯压缩传感的新型信号和图像处理算法将被开发出来，以提高图像质量和分辨率，提高运算速度，降低数据采集和处理的成本和时间。预计许多应用将从这项研究中受益，包括搜索和救援、监视、安全和国防。预计研究成果将增强澳大利亚武装部队、反恐、警察和执法机构的能力。

The aim of this project is to develop radar imaging techniques which enable us to 'see' objects behind walls and opaque materials. The major intended breakthrough is the ability to image objects behind walls and inside buildings or enclosed structures without accessing the scene. Novel signal and image processing algorithms, based on Bayesian compressive sensing, will be developed to enhance image quality and resolution, improve speed of operation, and reduce the cost and time of data acquisition and processing. Many applications are expected to benefit from this research including search and rescue, surveillance, security, and defence. The research outcomes are expected to enhance the capabilities of the Australian armed forces, counter-terrorism, police and law-enforcement agencies.