摘要
车载前视地表穿透合成孔径雷达(GPSAR)能够穿透地表获得浅埋目标图像,可用于较大面积区域的快速探测。目前制约GPSAR浅埋目标检测实用化的主要障碍是探测环境复杂而带来的虚警过高。而对GPSAR浅地表杂波特性分析是指导检测器设计进而提高检测性能的前提。文中针对车载前视GPSAR图像杂波局部与整体统计特性不一致的情况,给出一种基于多维概率密度函数的GPSAR图像浅地表杂波特性分析方法。该方法揭示了局部图像与整体图像的浅地表杂波特性的区别与联系。可从理论上解释车载前视GPSAR图像浅地表杂波的实际统计结果,为指导检测器设计和提高浅埋目标检测性能奠定了基础。
Vehicle-Mounted Forward-Looking Ground Penetrating Synthetic Aperture Radar （VMFL-GPSAR） which can penetrate the ground surface and get subsurface targets image is widely used for fast detection of large area. At present, the limitation of detection is high false-Mann which is brought by the complex environment. Aanalysis of clutter characteristics the guidance of desig- ning detector and the precondition of improving the performance of detector. This article presents a novel method based on muhidi- mensional probability measure function for the statistics of image between the whole and the local, which shows their relationship and difference. This method can explain the practical phenomenon from theory, and lays a foundation for designing detector and improving the performance of detection.
出处
《现代雷达》
CSCD
北大核心
2009年第8期39-42,共4页
Modern Radar
