基于空时压缩收发模型的超材料孔径前视成像技术

Nowadays, the traditional SAR imaging techniques gradually cannot meet the imaging demands for missile-based guidance radar with high speed and flexible motion. Aiming at the need for fast, accurate and high-resolution imaging of forward-looking radar under high-speed motion platforms, a spatial-temporal compressive transceiver model based Metamaterial forward-looking imaging method is advanced in this project. Our research will be conducted from four aspects, including the theoretical modeling of the Metamaterial aperture forward-looking imaging, analysis of the Metamaterial antenna aperture, Metamaterial forward-looking motion compensation, and Metamaterial fast imaging algorithm. The detailed research contents include: ① A spatial-temporal transceiver based forward-looking sparse imaging model is developed for high-speed movement condition; ②A method for millimeter wave Metamaterial antenna design and its precision analysis under high-speed condition is given, and a random scanning strategy for Metamaterial antenna is designed via correlation analysis; ③A motion compensation algorithm for Metamaterial antenna forward-looking imaging under motion platform, and a Doppler extension focusing and a cross-distance unit correction method are proposed; ④A fast image sparse reconstruction algorithm under multi-channel mesh compressive sampling, and a structural prior information assisted 3D Metamaterial aperture forward-looking imaging algorithm are proposed. The application background of this project is specific, the research contents are novel, and the research outcomes have both theoretical meanings and application values.

当前传统SAR成像已越来越难满足高速机动的弹载制导雷达成像需要。针对高速运动平台条件下快速、准确、高分辨的前视雷达成像需求，本项目提出一种新的基于空时二维压缩收发模型的超材料前视成像方法。从超材料孔径前视成像理论建模、超材料天线孔径分析、超材料前视运动补偿和超材料快速成像算法四个方面开展研究，具体包括：①发展高速运动条件下的空时二维收发前视稀疏成像模型；②给出高速条件下的毫米波超材料天线设计和精度分析方法，设计基于相关性分析的超材料天线随机扫描方案；③提出运动平台超材料天线前视成像的运动补偿算法，以及多普勒扩展聚焦和跨距离单元校正方法；④提出多通道网络压缩采样下的图像快速稀疏重构算法,以及结构先验信息辅助的3D超材料孔径前视成像算法。本课题的研究具有明确的应用背景，研究内容具有原创性，研究成果具有理论意义与应用价值。

当前传统SAR成像已越来越难满足高速机动的弹载制导雷达成像需要。针对高速运动平台条件下快速、准确、高分辨的前视雷达成像需求，本项目提出一种新的基于空时二维压缩收发模型的超材料前视成像方法。从超材料孔径前视成像理论建模、超材料天线孔径分析、超材料前视运动补偿和超材料快速成像算法四个方面开展研究，具体包括：发展高速运动条件下的空时二维收发前视稀疏成像模型，研究了二维阵列、三维阵列的实孔径雷达成像模型；充分挖掘了雷达成像中的先验条件，待成像目标区域的稀疏性和接收回波数据的低秩性；我们通过稀疏阵列单快拍成像的方法有效地解决了运动复杂目标成像时出现的多普勒扩展散焦和跨距离单元校正的问题；面对多通道压缩采样成像的重构问题，提出了对于各种阵列模型下的成像超分辨问题。同时本项目也研究了在此优化模型下的合成孔径雷达成像、逆合成孔径雷达成像、遥感图像检测、识别等问题。.本项目进展顺利，较好地完成了各项项目内容：具体成果如下：在国内外知名期刊和会议上发表论文13篇，授权发明专利2项, 培养了3名博士研究生，9名硕士研究生.