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基于VMD的宽带混沌雷达多生命信号探测方法
引用本文:马铖,李静霞,徐航,刘丽,张建国,王冰洁.基于VMD的宽带混沌雷达多生命信号探测方法[J].信号处理,2022,38(6):1270-1283.
作者姓名:马铖  李静霞  徐航  刘丽  张建国  王冰洁
作者单位:1.太原理工大学新型传感器与智能控制教育部和山西省重点实验室,山西 太原 030024
基金项目:国家自然科学基金项目61601319山西省自然科学基金项目201801D221185
摘    要:提出并实验验证了一种基于变分模态分解(VMD)的宽带混沌雷达多生命信号探测方法。首先基于混沌相关测距获得原始回波矩阵,然后利用VMD方法抑制噪声和杂波并重构多生命信号,包括基于0 dB峰值噪声比(PNR)判决减小VMD运算量,通过中心频率分析优选 K值以及利用3 dB峰值旁瓣水平(PSL)判决自动提取呼吸信号,最后结合快速傅里叶变换(FFT)和恒虚警率(CFAR)等,同时估计墙后多个人体目标的呼吸频率和距离。实验结果表明所提方法可以实现20 cm墙后二至五个人体目标的准确、快速探测,并且具有15 cm的高距离分辨率。 

关 键 词:布尔混沌雷达    多生命探测    变分模态分解
收稿时间:2021-07-23

Multi-life Signal Detection Method for Wideband Chaotic Radar Based on VMD
Affiliation:1.Key Laboratory of Advanced Transducers and Intelligent Control System,Ministry of Education and Shanxi Province,Taiyuan University of Technology,Taiyuan,Shanxi 030024,China2.College of Physics and Optoelectronics,Taiyuan University of Technology,Taiyuan,Shanxi 030024,China
Abstract:? ?A multi-life signal detection method based on variational mode decomposition (VMD) for wideband chaotic radar was proposed and experimentally demonstrated. Firstly, the original echo matrix was obtained by the chaotic correlation ranging. Then, the noise and clutter were suppressed and the multi-life signals were reconstructed based on the VMD method, which includes reducing the VMD computation burden by the decision with 0 dB peak noise ratio (PNR), optimizing the K value through the central frequency analysis, and automatically extracting the respiratory signal by the 3 dB peak sidelobe level (PSL) decision. Finally, combined with the fast Fourier transform (FFT) and the constant false alarm rate (CFAR), the respiratory frequencies and ranges of human targets behind the wall were simultaneously estimated. The experimental results show that the proposed method can accurately and quickly detect two to five human targets behind the wall with 20 cm thickness, and has a high range resolution of 15 cm. 
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