基于相对多普勒峰高特征的OS-CFAR改进方法  

An Improved OS-CFAR Method Based on Relative Doppler Peak Height Feature

作　　者：韩喆璇 于恒力 王中训[1] 刘宁波 孙艳丽 HAN Zhexuan;YU Hengli;WANG Zhongxun;LIU Ningbo;SUN Yanli(School of Physics and Electronic Information,Yantai University,Yantai Shandong 264005,China;Naval Air University,Yantai Shandong 264001,China)

机构地区：[1]烟台大学物理与电子信息学院,山东烟台264005 [2]海军航空大学,山东烟台264001

出　　处：《海军航空大学学报》2024年第4期475-484,共10页Journal of Naval Aviation University

基　　金：国家自然科学基金(62388102、62101583、61871392);泰山学者工程(tsqn202211246)。

摘　　要：在传统有序统计类恒虚警的基础上,提出了1种基于相对多普勒峰高特征的改进有序统计类恒虚警检测方法。该检测算法结合相对多普勒峰高(RDPH)特征和有序统计类(OS-CFAR)检测算法的优势,对雷达回波数据的相对多普勒峰高特征进行计算,通过排序选取参考单元的特征估计,得到检测门限,并通过仿真与实测数据测试对比该算法与其他传统恒虚警算法在不同背景下的检测性能,验证该算法的优势。结果表明:相较于传统均值类、有序统计类恒虚警检测算法,基于相对多普勒峰高特征的改进OS-CFAR检测算法在实测海雷达数据的高海况场景下能够达到更好的检测概率。On the basis of traditional ordered statistics constant false alarm,an improved detection method of ordered statistics constant false alarm using relative Doppler peak height features is proposed.The detection algorithm combines the advantages of the relative Doppler peak height(RDPH)feature and the ordered statistical class(OS-CFAR)detection algorithm to calculate the relative Doppler peak height feature of radar echo data,and obtains the detection threshold by sorting and selecting the feature estimation of the reference unit.Through simulation and actual data test,the detection performance of this algorithm is compared with other traditional constant false alarm algorithms in different backgrounds,and the advantages of this algorithm are verified.The results show that the improved OS-CFAR based on the relative Doppler peak height feature can achieve better detection probability in the high sea state scenario of measured Marine radar data compared with the traditional mean and ordered statistics constant false alarm detection algorithms.

关 键 词：雷达目标检测 有序统计类恒虚警 特征提取 海杂波 相对多普勒峰高 

分 类 号：TN951[电子电信—信号与信息处理] TN957.51[电子电信—信息与通信工程]