基于排序的自动剔除Switching-CFAR检测器

发布时间：2018-02-21 19:42

本文关键词： 目标检测恒虚警自动剔除 Switching-CFAR 非均匀噪声　出处：《华东师范大学学报(自然科学版)》2017年03期 　论文类型：期刊论文

【摘要】：针对传统恒虚警(Constant False-Alarm Rate,CFAR)检测器在非均匀噪声环境下检测性能较差的问题,本文提出了一种基于排序的自动剔除Switching-CFAR(Automatic Censoring Switching-CFAR Detector Based on Sorting,ACS-CFAR)检测器.选择参考窗中间单元为测试单元,其余单元按照幅值升序排列,根据两个分界点位置参数,选择合适的参考单元集进行背景噪声功率估计以及结合参考单元数和目标恒虚警率计算相关系数,得到最优检测门限.经过仿真对比,ACS-CFAR检测器在均匀噪声环境下检测率为98.73%,接近于单元平均恒虚警(CA-CFAR)检测器;在非均匀噪声环境下检测率为98.16%,优于可变索引恒虚警(VI-CFAR)和自动删除平均恒虚警(ACCA-CFAR)检测器,虚警率误差均控制在0.10%以内.结果表明,本文提出的ACS-CFAR检测器在均匀噪声环境以及杂波和多目标干扰环境下均具有较好的检测性能.
[Abstract]:In order to solve the problem that the detection performance of traditional constant false alarm constant False-Alarm (CFAR) detector is poor in non-uniform noise environment, a sort of Switching-CFAR(Automatic Censoring Switching-CFAR Detector Based on sorting ACS-CFAR detector is proposed in this paper. The middle unit of the reference window is selected as the test unit. The other units are arranged in ascending order of amplitude. According to the location parameters of two boundary points, the appropriate reference unit set is selected to estimate the background noise power, and the correlation coefficient is calculated by combining the number of reference units and the constant false alarm rate of the target. The optimal detection threshold is obtained. The detection rate of ACS-CFAR detector in uniform noise environment is 98.733.It is close to the average CFAR CA-CFAR detector. The detection rate in non-uniform noise environment is 98.16, which is superior to VI-CFAR (variable index CFAR) and ACCA-CFAR (automatic delete CFAR) detector. The error of false alarm rate is controlled within 0.10%. The proposed ACS-CFAR detector has better detection performance in uniform noise environment and clutter and multi-target interference environments.
【作者单位】：安徽工程大学计算机与信息学院;奇瑞汽车股份有限公司前瞻技术研究院;
【基金】：国家自然科学基金(91120307) 安徽省自然科学基金(TSKJ2015B12) 安徽工程大学计算机应用技术重点实验室开放基金(JSJKF201514)
【分类号】：TN957.51

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