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作 者:关键 姜星宇 刘宁波 丁昊 黄勇 GUAN Jian;JIANG Xingyu;LIU Ningbo;DING Hao;HUANG Yong(Institute of Information Fusion,Naval Aviation University,Yantai 264000,China)
机构地区:[1]海军航空大学信息融合研究所,山东烟台264000
出 处:《系统工程与电子技术》2024年第11期3715-3725,共11页Systems Engineering and Electronics
基 金:国家自然科学基金(61871392,62101583)资助课题。
摘 要:现有的矩阵恒虚警率(constant false alarm rate,CFAR)检测器仅对单一极化回波进行处理,且计算复杂度较高,导致相关性信息使用不充分、检测场景受限。对此,利用双极化雷达回波计算协方差矩阵,通过提取其特征值来衡量回波间的关联性,提出一种计算复杂度较低的基于双极化最大特征值的检测方法。首先,推导了以最大特征值作为几何距离进行检测的可行性。进一步,设计了可在实际场景中使用的基于双极化最大特征值的矩阵CFAR检测器。最后,通过实测海杂波数据验证了所提方法的实际检测能力。仿真结果表明,所提方法相比同样使用最大特征值作为检测统计量的最大特征值矩阵测度算法具有更好的杂波抑制效果,检测性能也优于非相参积累的单元平均CFAR检测方法。Due to the existing matrix constant false alarm rate(CFAR)detectors only processing single polarized echoes and their high computational complexity,the use of correlation information is insufficient and the detection scenario is limited.In this regard,a detection method based on the maximum eigenvalue of dual polarization is proposed,which utilizes the covariance matrix of dual polarization radar echoes to measure the correlation between echoes by extracting their eigenvalues and has lower computational complexity.Firstly,the feasibility of using the maximum eigenvalue as the geometric distance for detection is derived.Furthermore,a matrix CFAR detector based on dual polarization maximum eigenvalue is designed for practical use in real-world scenarios.Finally,the actual detection capability of the proposed method is verified through measured sea clutter data.Simulation results show that the proposed method has better clutter suppression performance and detection performance compared to the maximum eigenvalue matrix measurement algorithm,which also uses the maximum eigenvalue as the detection statistic.The detection performance is also better than the non coherent accumulation cell-averaging CFAR detection method.
分 类 号:TN957.51[电子电信—信号与信息处理]
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