李君豪
南京邮电大学通信与信息工程学院 南京 210003
基金项目:国家自然科学基金(61201325)，南京邮电大学国自孵化基金(NY218045)，江苏省研究生科研与实践创新计划项目(SJCX19_0249)
详细信息
作者简介:时艳玲：女，1983年生，副教授，主要研究方向为海杂波的散射特性分析、复杂电磁环境下的目标检测和雷达信号处理
李君豪：男，1996年生，硕士生，研究方向为信息几何及雷达目标检测
通讯作者:时艳玲 ylshi@njupt.edu.cn
中图分类号:TN911.23计量
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被引次数:0
出版历程
收稿日期:2020-05-22
修回日期:2020-12-22
网络出版日期:2021-02-25
刊出日期:2021-09-16
Target Detecting Algorithm Based on Subband Matrix for Slow Target in Sea Clutter
Yanling SHI,,Junhao LI
School of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
Funds:The National Natural Science Foundation of China (61201325), The National Incubation Fund of Nanjing University of Posts and Telecommunications (NY218045), The Postgraduate Research & Practice Innovation Program of Jiangsu Province (SJCX19_0249)
摘要
摘要:对于K分布海杂波环境下的目标检测，基于信息几何理论的矩阵CFAR检测器是一种有效的目标检测方法。但矩阵CFAR方法计算复杂度高且当目标多普勒频率严重偏离杂波频谱中心时，其检测性能不如自适应归一化匹配滤波器(ANMF)方法，影响其实际应用。为此，该文以滤波器组对接收信号进行滤波处理，提出一种基于滤波器组子带分解最大特征值的矩阵CFAR检测方法(FD-MEMD)，通过双杂波抑制来解决目标多普勒频率偏离杂波频谱中心时矩阵CFAR方法失效的难题。最后，仿真实验验证了所提FD-MEMD具有较好的检测性能。
关键词:海面慢速目标检测/
信息几何/
滤波器组/
矩阵恒虚警检测
Abstract:The matrix Constant False Alarm Rate (CFAR) detector based on the information geometry theory is an effective method for target detection in the K-distributed sea clutter environment. However, the general matrix CFAR method has a high computational complexity and its detection performance is not as good as Adaptive Normalized Matched Filter (ANMF) when the target Doppler frequency deviates from the clutter spectrum center seriously, which affects its practical application. For this reason, considered the filtered received signal by the filter bank, a Matrix CFAR Detection method based on the Filter bank subband Decomposition of Maximum Eigenvalue (FD-MEMD) is proposed. The double clutter suppression helps to solve the problem that Matrix CFAR is invalid when the target Doppler frequency is far away the central of the clutter spectrum. Finally, the simulation results show that the improved FD-MEMD has a good detection performance.
Key words:Slow target detection in sea clutter/
Information geometry/
Filter bank/
Matrix constant false alarm detection
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