基于雷达点迹置信度统计的目标检测方法

摘要

Detecting and tracking weak and small targets in low signal-to-noise ratio environment has aroused people's attention widely in radar data processing domain.Track-before-detect (TBD) method is effective to detect weak and small targets.Its basic idea is to avoid the signal-to-noise ra-tio loss due to constant false alarm rate (CFAR)processing,and perform the detection of original data directly.This paper puts forward the plot confidence method to quantify the detected original data,completes target detection by selecting local extremum.%低信噪比环境中对弱小目标的检测和跟踪已经在雷达数据处理领域中引起人们的广泛关注。检测前跟踪(TBD)方法对弱小目标的检测非常有效，其基本思想是为了避免恒虚警(CFAR)处理带来的信噪比损失，直接对原始数据进行检测。提出了点迹置信度方法对检测的原始数据进行量化，通过局部极值选取完成目标检测。