中文摘要：

针对复杂电磁环境中现代雷达对高速、高机动、隐身目标探测的迫切需求，该文基于空时频域信号建模，提出多维联合相参积累的空时频检测前聚焦（STF-FBD）雷达信号处理新理论和新方法。STF-FBD可有效抑制强杂波和有源干扰，克服尺度伸缩、孔径渡越、稀疏子带、跨距离、跨多普勒和跨波束等效应，显著提高能量积累、目标检测、参数测量、机动跟踪、特征提取和目标识别等环节的处理性能，并取得明显超越现有检测前跟踪（TBD）方法的性能，形成STF-FBD和STF-FBD-TBD的理论框架和技术体系。该文方法不仅适用于高速高机动隐身目标也适用于常规雷达目标，不仅适用于新体制雷达也适用于常规体制雷达，在诸多领域具有广阔的应用前景。

英文摘要：

For the high-speed, high-maneuverability and stealthy target detection via modern radar in complicated electromagnetic environment, a novel radar signal processing approach called Space-Time-Frequency Focus-Before-Detection （STF-FBD） via multi-dimensional coherent integration is proposed. Based on space-time-frequency signal modeling for modern radar systems, the proposed method can effectively suppress the strong interference, such as clutter and active jamming, and overcome the problems of scaled effect of high-speed targets, aperture fill time, sparse frequency sub-band synthesis, across range units, across Doppler units and across beam units. The proposed methods improves radar signal processing performance on the steps like energy integration, target detection, parameter estimation, maneuver tracking, feature extraction and target recognition. It also outperforms the existing Track-Before-Detection （TBD） methods and establish a unified STF-FBD and STF-FBD-TBD radar signal processing frame work. The proposed method is suitable for high-speed, high-maneuverability and stealthy target, as well as for conventional targets. It is applicable for new-generation modern radar, as well as for conventional radars, and may find application to different field.