空时频检测前聚焦雷达信号处理理论和方法研究

项目名称： 空时频检测前聚焦雷达信号处理理论和方法研究

项目编号： No.61271391

项目类型： 面上项目

立项/批准年度： 2013

项目学科： 无线电电子学、电信技术

项目作者： 许稼

作者单位： 北京理工大学

项目金额： 80万元

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，本项目基于空时频域信号建模，提出基于长时间相参积累的空时频检测前聚焦（STF-FBD）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，显著提高混合积累、目标检测、参数测量、机动跟踪、特征提取和目标识别等信号处理环节的性能。相对现有检测前跟踪（TBD）方法，STF-FBD通过长时间相参积累技术可取得更优越性能，并形成基于STF-FBD和STF-FBD-TBD方法统一的雷达信号处理理论框架和技术体系。同时，本项目将提出STF-FBD快速算法并研制通用仿真平台，为STF-FBD新方法工程应用奠定基础。本项目研究成果不仅适于高速、高机动、隐身目标也适于常规目标，不仅适于新体制雷达也适于常规雷达，满足搜索、警戒、制导、跟踪、引导等雷达应用领域的需求。

中文关键词： 检测前聚焦；高速目标；隐身目标；目标检测；参数估计

英文摘要： For the high-speed, high maneuvering and stealthy target detection via modern radar in a complicated electromagnetic surrounding, this project put forward a novel approach for radar signal processing, called Space-Time-Frequency Focus-Before-Detection (STF-FBD), based on long-time coherent integration. The proposed STF-FBD methods can effectively suppress the strong clutter and active jamming based on the space-time-frequency signal modeling, as well as overcome the problems like scale effect, aperture fill time, sparse frequency sub-band synthesis, across range units, across Doppler units and across beam units. The proposed STF-FBD methods can remarkably improve the radar signal processing performance on the steps like hybrid integration, target detection, parameter estimation, maneuvering tracking, feature extraction and target recognition. The proposed STF-FBD methods can outperform the existing track-before-detection (TBD) methods on the processing performance and establish a unified radar signal processing frame based on STF-FBD and STF-FBD-TBD processing. In the mean time, the fast implementations of STF-FBD algorithm will be proposed and a general simulation platform will be established in this project, which will demonstrate the effectiveness and fasten the applications of the proposed STF-FBD methods.

英文关键词： Focus-before-detection；high-speed target；stealthy target；target detection；parameter estimation