非均匀噪声下基于双剔除门限的恒虚警目标检测算法

CFAR target detection algorithm based on dual-censoring threshold in non-homogeneous environments

为了解决雷达检测算法在非均匀噪声环境下目标检测性能严重下降的问题,在分析实际回波杂波分布特性的基础上,提出了一种基于双剔除门限的恒虚警目标检测算法,通过双剔除门限将极大极小干扰信号从参考窗口中剔除,实时精确估计背景噪声功率.经过与各检测算法仿真对比,该算法在多目标干扰、遮挡和杂波边缘干扰等非均匀背景噪声环境下仍具有最优的检测性能和鲁棒性.结果表明,所提出的目标检测算法在非均匀噪声环境下具有良好的检测性能.

In order to solve the problem that the detection performance of the radar target detector decreases badly in non-homogeneous environments.Based on the actual echo clutter distribution,a dual-censoring threshold constant false alarm rate(DCT-CFAR)detector is proposed.Dual censoring threshold is used to remove the large and small unwanted samples and real-time accurate estimate the background noise power level.Compared with the simulation and analysis results of other detectors,the proposed detector has the best detection performance and stability in multi-interfering targets,masking effect,clutter edge and other non-homogenous environments.The results show that the proposed detector still has a good detection performance in non-homogeneous environments.