基于空时二维压缩投影接收机的MIMO雷达

项目名称： 基于空时二维压缩投影接收机的MIMO雷达

项目编号： No.61271290

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： 王敏

作者单位： 西安电子科技大学

项目金额： 76万元

中文摘要： 本项目针对传统雷达存在的分辨率与采样速率间的固有矛盾，提出一种基于空时二维压缩投影接收机的MIMO雷达处理方案。这种新型的空时二维压缩投影接收机替代了传统雷达的匹配滤波，可以实现稀疏孔径和欠Nyquist速率的空时双稀疏采样。研究目标是：充分利用发射波形提供的信息，通过压缩投影和稀疏重构过程，来降低雷达系统采样速率，以实现高分辨雷达目标参数估计和成像。我们提出一种多通道模拟调制和滤波结构，根据表示模型和物理约束来确定其参数；提出基于离散混沌序列的发射波形设计方法以及一种基于发射波形矩阵分拆的直接回波欠采样方案；提出分别基于统计特性先验信息和目标结构先验信息来实现稳健和快速的重构算法。最后用实测数据验证本项目的研究成果。本项目有创新性和可行性，研究成果将对CS理论在雷达中应用具有重要的理论指导意义和应用价值。

中文关键词： 欠奈奎斯特采样；稀疏表示；MIMO雷达；发射波形；压缩投影接收机

英文摘要： The proposal will investigate on a new architecture of MIMO radar system with receiver based on space-time two-dimensional compressive projection that is firstly proposed by the applicant. Aimed at the conflict of sampling rate and resolution in radar system, we propose a new receiver structure, named as space-time 2D compressive projection receiver, to replace the conventional matching filters. The MIMO radar with this new type receiver can be equipped with sparse aperture of sensors and can work at sub-nyquist sampling rate. The concern of the research is how to fully utilize the information provided by multiple transmitted waveforms so that we are able to decrease the sampling rate as well as target parameter estimation with high accuracy and target imaging with super-resolution via such a compressive projection and sparsity recovery process. As solutions, we propose a kind of receiver structure with multiple channel analog modulation and filter, the parameters of which is desined by circuit element constraints and representation matrix. An approach of waveform design is presented by discrete chaos sequence. And one scheme of directly echo sampling based on the idea of transmitted waveform matrix partition is proposed. We also give the ways to obtain robust recovery algorithms based on statistical prior kno

英文关键词： sub-nyquist sampling；sparse representation；MIMO radar；transmitted waveform；compressed projection receiver