针对韦布尔分布的循环剔除TLM-CFAR检测器

摘要

For the problem of constant false alarm rate (CFAR) detection in Weibull clutter background, a CFAR detector—cycle elimination TLME-CFAR detector is proposed. The detector calculates its detection threshold through the estimation of two parameters of Weibull distribution, which is based on TL-moment estimation. The effect of the interference target and the strong scattering point are then eliminated by the cyclic elimination method. This paper proved that the proposed detector is a CFAR detector, and then the performance of the detector is studied by Monte Carlo simulation and compared with the MLH-CFAR detector. The result shows that the cyclic elimination TLM-CFAR detector has very nearly the same performance with MLH-CFAR detector. The detector avoids iterated operation of maximum likelihood estimation, and improves the efficiency and applicability of detection algorithm.%针对韦布尔分布杂波背景中的目标检测问题,本文提出了一种CFAR检测器 循环剔除TLM-CFAR检测器.该检测器基于TL矩估计方法,首先获得韦布尔分布的两参数估计值,进而确定CFAR检测门限,然后利用循环剔除法剔除干扰目标和强散射点的影响.文中证明了TLM-CFAR检测器具有恒虚警性,利用Monte Carlo仿真方法研究了这种检测器的性能,并与MLH-CFAR检测器进行了比较.仿真结果和实验结果表明,这种检测器不仅可以达到MLH-CFAR检测器的性能,同时避免了最大似然估计需要迭代计算的繁琐性,提高了检测算法的效率和适用性.