时-空联合压缩感知3D超分辨雷达成像机理研究

项目名称： 时-空联合压缩感知3D超分辨雷达成像机理研究

项目编号： No.61271331

项目类型： 面上项目

立项/批准年度： 2013

项目学科： 无线电电子学、电信技术

项目作者： 宋耀良

作者单位： 南京理工大学

项目金额： 86万元

中文摘要： 超分辨3D成像雷达在医疗诊断、隔墙透视、生命探测、考古发掘和民用工程等方面具有广泛的应用,但基于传统匹配滤波理论的超高分辨UWB成像雷达正面临着采样速率高、海量存储和信号处理复杂等挑战性问题。压缩感知不同于传统匹配滤波，能以远低于Nyquist采样率获取少数非相干测量数据，通过重构算法高概率恢复信号，给解决高分辨雷达成像的瓶颈问题的提供了新的途径。本课题针对3D超高分辨医疗诊断雷达成像的科学问题，将现代雷达设计新理念与压缩感知理论相结合，提出了基于MIMO和圆周SAR相结合的虚拟柱面合成孔径系统和基于MIMO-CSAR的联合时-空压缩感知（TSCS）目标信号获取与处理方法；研究基于TSCS的3D超分辨成像机理,构建MIMO-CSAR系统理论架构；重点解决MIMO-CSAR系统优化设计和基于TSCS的MIMO-CSAR 3D目标信号的稀疏表示、联合时-空非相干测量和3D目标场景重构问题。

中文关键词： MIMO 雷达；层析成像；压缩感知；医学检测；超宽带

英文摘要： Super-resolution 3D imaging radar has widely applications in aeras such as medical detection, through-wall seeing, life-sign exploration, archeological investigation and civil engineering，etc. However, Super-resolution imaging radar based on the matched filter and UWB technology is facing big challenges in aspects of high rate sampling, huge amount of storage and complexity of signal processing.Compressive sensing(CS) provides a new way to solve bottlenecks faced by super-resolution radar imaging of small sparse scene.It is quite different from the matched filtering，introduces a new concept based on the direct convertion from analog signal to information, and can recovery the original signal at high probability by the reconstructing algorithm with few non-relevant measurements sampled at a rate significantly below the Nyquist rate. Aiming at the tough problem of 3D super-resolution imaging of the medical detection,a new system of a virtual cylindrical surface synthetic aperture based on MIMO techniques and circular SAR and a scheme of target signal acquisition and processing based on the joint time-space compressive sensing are proposed in this project,in which new ideas on modern radar design and compressive sensing are combined. The goal of the project is to build a theoretical system framework of MIMO-CSAR s

英文关键词： MIMO radar；tomography；compressive sensing；medical detection；UWB