一种基于组合形态学滤波的移相相减方法  

Phase Shift Subtraction Method Based on Combinational Morphology Filter

作　　者：郑修才[1] ZHENG Xiu-cai(School of Mathematics,Shandong University,Jinan 250100,China)

机构地区：[1]山东大学数学学院,济南250100

出　　处：《火力与指挥控制》2020年第11期37-41,48,共6页Fire Control & Command Control

基　　金：山东大学教育教学改革与研究基金资助项目(2019Y049)。

摘　　要：针对移相相减技术对弱目标检测与判决所需最低信噪比较高问题,提出一种基于组合形态学滤波的移相相减方法。该方法采用组合形态学滤波方法提取移相相减法输出空间谱基底;采用提取的空间谱基底校正移相相减法合成波束,降低心形指向性函数对合成波束的影响;采用动态规划实现对弱目标检测与轨迹提取。理论推导分析和仿真实验结果均表明,相比原移相相减法,在保持目标分辨特性不变情况下,本方法对弱目标检测与判决所需最低信噪比得到了3 dB的改善,降低了移相相减法能量衰减问题对弱目标检测带来的影响,提高了移相相减法在实际应用中的稳健性。For the requirement problem of phase shift subtraction method for the minimum signalto-noise ratio in weak target detection and judgment,a phase shift subtraction method based on combinational morphology filter is proposed.Firstly,the output spatial spectrum basement of the phase shift subtraction method was extracted by the combinational morphology filter method.Then,the synthesized beam was corrected through the extracted spatial spectrum basement,and the impact of heart-shaped directivity function on the synthesized beam was reduced.Lastly,the weak target detection and track extraction can be realized via the dynamic programming.The results of theory deduction analysis and simulation experiment show that,compared with the phase shift subtraction method,the requirement of the minimum signal-to-noise ratio is improved 3dB for achieving weak target detection and judgment,the impact of energy attenuation on weak target detection and judgment is reduced,and the robust ness of phase shift subtraction method in real application is improved.

关 键 词：目标检测 移相相减 最低信噪比 组合形态学 动态规划 

分 类 号：TN953[电子电信—信号与信息处理]