非理想情况下无人机载雷达稀疏阵列设计与稳健杂波抑制

面向安全威胁监视（边境和海域监视、安防、反恐、大型集会）和环境自适应（全天时、全天候）的需求，发展无人机载雷达是无人机技术发展的迫切需求。充分利用稀疏阵列的虚拟自由度增多和虚拟孔径扩展特性，挖掘其结构灵活、轻重量、低成本、低耗能、低互耦等潜在优势，有利于实现小型化无人机载雷达的高效杂波抑制。针对现有稀疏阵列难以满足无人机载平台需求、载机小平台多非理想因素等问题，本项目拟开展稀疏阵列结构优化设计、稀疏阵列机载雷达杂波谱分析、非理想载机飞行和非理想稀疏阵列结构参数下的稳健杂波抑制方法三个方面的研究。着力设计出无人机载小型化需求和杂波抑制性能联合优化的稀疏阵列；从先验知识、子空间类算法与稀疏性的契合点出发，以提高稳健性为目标，研究载机非理想飞行、稀疏阵列结构非理想条件下的稳健杂波抑制算法。项目的预期研究成果可促进无人机载雷达向“小型化”方向发展，为无人机载雷达运动目标检测和跟踪提供理论支撑。

For security threat monitoring application, such as border and sea area surveillance, security and anti-terrorism, large gathering, and environmental adaptation (all-day, all-weather) requirements, the development of the unmanned-airborne radar is an urgent mission for the development of unmanned aircraft vehicles (UAV). Making full use of the increased virtual degrees of freedom and virtual aperture properties provided by the sparse arrays, we can take its potentials in many aspects, such as flexible structure, low weight, low cost, low power consumption, and low mutual coupling, which will be beneficial for the efficient clutter suppression for the small unmanned-airborne radar. Aiming at the problems of the existing sparse arrays that are difficult to meet the special considerations (low weight, low cost, low power consumption, and low mutual coupling) and many non-ideal factors in the small UAV platform, this project intends to study the optimum design of sparse arrays for the specified unmanned airborne radar, the clutter spectrum distribution analysis, robust clutter suppression method under the non-ideal flight and non-ideal sparse array structure. First, we focus on devising the optimum sparse array structure by optimizing miniaturization requirements and clutter suppression performance. Then, according to the prior-knowledge, the subspace-based method, and the sparsity property, the robust clutter suppression method is developed for the unmanned-airborne radar under the non-ideal flight of the UAV and under the non-ideal sparse array structure parameters, so as to improve the clutter suppression robustness in practical complex applications. The research can make positive contributions for the unmanned airborne development in the direction of miniaturization and provide technical support for the research on moving target detection and tracking of unmanned airborne radars.