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。

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 ofWeibull 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.