中文摘要：

最近涌现的临近空间高动态飞行器存在超高速、高机动、超远程、低RCS、等离子鞘套、电离层污染、宇宙射线干扰等显著区别于常规目标的特性。基于空天地不同平台雷达临近空间高动态飞行器通用信号建模,该文提出了分布式组网、多维度、变模型、多目标、微运动、非参数化等应用的检测前聚焦雷达信号处理新方法,通过多维参数空间相参积累和能量聚焦,克服尺度伸缩、任意运动、孔径渡越、稀疏子带、跨距离、跨多普勒和跨波束等效应,有效抑制电离层污染和有源干扰,显著提高临近空间高动态飞行器的目标检测、参数测量、聚焦成像、机动跟踪、特征提取和属性识别等环节性能。该文方法适用于临近空间高动态目标也适用于探测常规雷达目标,适用于新体制雷达也适用于常规体制雷达,具备重要的学术理论价值和广阔的应用前景。

英文摘要：

Recently emerging, high maneuvering near space targets have many characteristics that differ from conventional targets, like ultra-high speed, high-maneuverability, ultra-far range, low Radar Cross Section （RCS）, plasma sheath, ionosphere layer pollution, and cosmic ray interference. Based on general signal modeling for near space targets of ground-based, airborne, and spaceborne radars, this paper proposes novel focus-before-detection methods with respect to a distributed radar network, multi-dimensions, multiple targets, micro motion, varied model, and non-parametric processing. The proposed FBD based methods can effectively suppress the strong ionosphere layer pollution and active jamming, as well as problems like the scaled effect of echoes, arbitrary motion, aperture fill time, sparse sub-band frequency synthesis, across range cell, across Doppler ceil, and across beam width. The proposed Focus-Before-Detection （FBD） based methods can remarkably improve the signal processing performance on target detection, paranleter estimation, maneuver tracking, high-resolution imaging, feature extraction, and target recognition. Additionally, they are suitable for both high maneuvering near space targets and conventional targets, and can be applied for both new-generation radars and conventional targets. Therefore, the proposed FBD based methods for high maneuvering near space target detection have both important academic research value and impact a wide variety of applications.