论文部分内容阅读
引言最早的自动雷达检测器是以时城里的单门限和单脉冲为基础的。非相参积累器,如滑窗检测器,则根据时间空间的双门限和多脉冲积累。这种检测器在噪声背景下能有效地检测信号,但在杂波背景下则效果不好。最早的时域自适应检测器是对数单元平均恒虚警检测器。在这种检测器中门限值是随杂波背景的平均值变化的,而杂波的平均值是用与测试单元相邻的样本来估计的。此方法以杂波的统计特性是独立同分布为前提。然而,即使是一个平稳过程,各单元之间的雷达杂波也并非相关。有时候,各单元之间杂波分布是不同的。这种情况可能产生于杂波边缘或点杂波。
Introduction The earliest automatic radar detector was based on single-threshold and single-pulse in the city. Non-coherent integrators, such as sliding window detectors, accumulate based on double-threshold and multi-pulse in time space. This detector can effectively detect the signal in the background noise, but the effect is not good in clutter background. The earliest time-domain adaptive detector is a logarithmic unit average CFAR detector. The thresholds in this detector vary with the average clutter background, and the average clutter is estimated from samples adjacent to the test cell. This method is based on the premise that the statistical characteristics of clutter are independent and identically distributed. However, even a smooth process, the radar clutter between the units is not relevant. Sometimes, the distribution of clutter between units is different. This situation may arise from clutter edges or spot clutter.