基于混合MIMO-相控阵技术的运动目标认知成像方法研究

High-resolution imaging for aerospace moving targets can provide significant information for radar target detection and recognition, which is very important to ensure the national security. Combining the cognitive imaging technique with the hybrid MIMO-Phased-Array technique which has advantage of high degree of freedom will be hopeful to solve the existed problems in cognitive imaging technology, such as the low degree of freedom of operating mode and resource allocation, the low adaptive imaging performance for target, the low capacity of implementing multi-task simultaneously, and so on. Based on the previous study, the project combines the cognitive imaging technique with the hybrid MIMO-Phased-Array technique together. Via researching on some of key issues in the research contents, such as the modeling of cognitive imaging based on the hybrid MIMO-Phased-Array technique, the cognitive optimization of sub-array structure and transmitted waveforms, the high-resolution cognitive imaging for moving targets and the radar resource optimal scheduling, the cognitive imaging method based on hybrid MIMO-Phased-Array technique can be proposed accordingly. The research can enrich the cognitive radar imaging theory and provide technical support for the research on cognitive imaging for moving targets. The prospective achievements of the project will further promote the development of radar imaging technology to "intelligent"，which has the important theoretical significance and application value for promoting the air attack and defense countermeasures capability, the air defense and antimissile capability, and the strategic early warning capability of our country.

空天运动目标高分辨成像能够为雷达目标探测与识别提供重要特征信息，对保障我国国土安全具有重要意义。将具有高自由度优势的混合MIMO-相控阵技术与认知成像技术相结合，有望解决现有认知成像技术中工作模式及资源分配自由度不高、目标自适应成像能力不强、多任务协同工作能力不足等问题。本项目在前期研究基础上，将混合MIMO-相控阵技术与认知成像技术相结合，通过研究基于混合MIMO-相控阵技术的认知成像模型构建、子阵结构和发射波形认知优化设计、运动目标高分辨认知成像以及雷达资源优化调度等内容，提出基于混合MIMO-相控阵技术的运动目标认知成像方法，丰富和发展认知雷达成像理论，为运动目标认知成像研究提供技术支撑。本项目的预期研究成果将进一步促进雷达成像技术向“智能化”发展，对提升我国的空天攻防对抗能力、国土防空反导能力及战略预警能力都具有重要的理论意义和应用价值。

本项目将认知理论、混合MIMO-相控阵技术与雷达目标高分辨成像技术相结合，针对基于混合MIMO-相控阵技术的运动目标认知成像方法开展了研究，建立了基于混合MIMO-相控阵技术的雷达目标认知成像模型，提出了子阵结构与发射波形联合认知优化、运动目标高分辨率认知成像、雷达资源优化调度等方法，丰富和发展了认知雷达成像理论，为运动目标认知成像研究提供了新思路，为促进雷达成像技术向“智能化”发展、提升我国的空天攻防对抗能力、国土防空反导能力及战略预警能力提供了理论基础和技术支撑。项目主要取得了以下理论研究成果：（1）建立了能够兼具传统相控阵雷达成像优势和MIMO雷达成像优势的新型认知成像模型，包括基于混合MIMO-相控阵技术的单次快拍认知成像模型和基于混合MIMO-相控阵技术的多次快拍认知成像模型；（2）分别基于稀疏线性调频步进信号和相位编码信号，提出了子阵结构与发射波形联合认知优化设计方法，能够面向目标高分辨成像需求，根据目标和环境特征对子阵结构与发射信号波形进行联合优化设计；（3）提出了基于混合MIMO-相控阵技术的单次/多次快拍认知成像方法，解决了多次快拍成像中的时空不等效问题，实现了目标高分辨成像；（4）研究了多任务条件下雷达资源分配问题，建立了多域资源联合优化调度模型，提出了基于NSGA-II算法的优化模型求解方法和基于强化学习的博弈解算方法，实现了雷达资源的合理分配，最终提高了雷达系统的整体工作性能。项目出版中文专著1部，发表学术论文19篇，其中SCI检索期刊论文12篇，EI检索期刊及会议论文7篇。项目组成员共参加国内会议7人次，国内举办的国际会议5人次。申报发明专利2项。项目共培养博士研究生2名、硕士研究生3名。项目负责人和项目组成员入选军队青年科技英才。