摘要
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.
作者
刘贵如
王陆林
邹姗
LIU Gui-ru;WANG Lu-lin;ZOU Shan(College of Computer and Information Science, Anhui Polytechnic University,Wuhu Anhui 241000, China;Prospective Technology Research Institute, Chery Automobile Co., Ltd,Wuhu Anhui 241006, China)
出处
《华东师范大学学报（自然科学版）》
CAS
CSCD
北大核心
2018年第1期135-145,共11页
Journal of East China Normal University(Natural Science)
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)
关键词
目标检测
恒虚警
双门限检测
非均勻噪声
target detection
constant false alarm rate (CFAR)
dual threshold detection
non-homogenous noise
