距离模糊下机载非正侧视阵雷达STAP应用关键技术研究

The application of space time adaptive processing (STAP) for non-sidelooking airborne radar (SLAR) with range ambiguity is the key technology for the performance improvement of KJ-2000 airborne early warning(AEW) radar in China. However,at present the related research advancement has rarely been reported,and this topic also is a great challenge for STAP theoretical study.. In this project, based on the detailed analysis of clutter dispersion of non-SLAR in the case of range ambiguity, a feasible solution in theory is proposed. Firstly, the range-dependence heterogeneity of clutter is mitigated by a two-stage hybrid adaptive strategy. Owing to its ability to pre-suppress the short-range clutter and subsequently align the spectral trajectory of residual long-range clutter, this algorithm is reasonable to yield further dispersion reduction with respect to previously proposed approaches, thus improving the following STAP performance. Secondly, an adaptive reduced dimension(ARD)-STAP scheme is presented, which is able to simultaneously cancel the jamming and clutter. Then，after the interference cancellation of ARD-STAP, the novel constant false alarm rate (CFAR) detector and adaptive monopulse processing technique are investigated for target detection and parameter estimation, respectively. Therefore, the main research contents in this project can be summarized as:(1) the adaptive pre-suppression of short-range clutter;(2) the blind alignment of angle-doppler spectrum for long-range clutter and the accurate estimation of compensation parameters;(3) the design of ARD-STAP for both jamming and clutter cancellation; (4) the CFAR detection and accurate angle estimation after ARD-STAP filtering.. The research contents of this project is not only closely related to the development requirements of the new generation AEW radar in China, but also makes a big progress in application of STAP. The investigation results can also be applied to the new concept airborne radars when operating in middle or high pulse repetition frequency (PRF) mode, such as airborne bistatic radar and airborne multiple-input multiple-output (MIMO) radar.

距离模糊下机载非正侧视阵雷达STAP应用是我国"空警-2000预警机雷达性能提升工程"急需突破的关键技术。目前对该技术的研究成果报道甚少，属STAP理论研究的难点。.本项目在深入分析距离模糊下机载非正侧视阵雷达杂波距离非平稳特性基础上，研究近程杂波自适应预抑制和远程杂波自适应谱线配准相融合的杂波距离非平稳补偿技术，进而开展抗干扰自适应降维STAP、目标检测和测角技术研究，从而在理论上给出一种切实可行的解决方案。本项目需重点研究的关键技术为：(1)近程杂波自适应预抑制方法；(2)远程杂波谱自适应配准和补偿参数高精度估计方法；(3)抗干扰自适应降维STAP方法；(4)目标恒虚警检测和高精度测角方法。.本项目研究内容不仅是我国新一代预警机雷达研制的迫切需求，而且是对STAP理论的发展和完善，其研究成果亦可推广应用于工作在中高重频下的机载双基、机载MIMO等新体制雷达。

本项目开展了距离模糊下机载非正侧视阵雷达STAP工程应用研究，重点解决了以下四个关键技术问题：1）针对近程杂波距离空变性，设计了高效俯仰ADBF算法抑制近程杂波，进而采用降维3DT算法抑制远程杂波的三维STAP方案；2）针对远程杂波空时谱分布特性，将稀疏重构技术引入STAP，提出了基于降维稀疏重构的远程杂波自适应谱线配准方案；3）将降维STAP与降维稀疏重构技术相结合并引入了基于知识辅助的动目标检测算法，设计了基于降维稀疏重构谱的直接数据域STAP方案；4）基于工程化降维STAP方案，研究了基于空时自适应单脉冲技术的目标高精度测角方案，能同时高精度估计目标多普勒频率和空间位置。上述研究内容既紧密结合我国新一代预警机雷达研制的迫切需求，也是对STAP理论研究的发展和完善。. 本项目相相关研究成果包括学术论文、发明专利和成果应用证明。已发表学术论文19篇，其中SCI收录6篇，EI收录3篇；已获授权发明专利2项，申请发明专利7项；已获应用成果1项。上述研究成果可推广应用于机载双基雷达、机载共形雷达和机载多输入输出（MIMO）雷达的杂波抑制、目标检测和角度跟踪。