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参数化时频分析在连续波有源探测中的应用
引用本文:薛城,顾怡鸣,宫在晓,李整林.参数化时频分析在连续波有源探测中的应用[J].兵工学报,2022,43(7):1655-1666.
作者姓名:薛城  顾怡鸣  宫在晓  李整林
作者单位:(1.中国科学院声学研究所 声场声信息实验室, 北京 100190; 2.中国科学院大学, 北京 100049;3.中山大学海洋工程与技术学院, 广东 珠海 519000)
基金项目:国家重点研发计划项目(2018YFC0308600);国家自然科学基金项目(11874061)
摘    要:针对双曲调频信号在连续波有源探测中的目标回波检测和直达波干扰抑制问题,提出了基于参数化时频分析的连续波信号处理算法。首先,通过分析双曲调频连续波的信号时频特性,结合参数化时频分析思想,提出了适于有源探测的频域参数化时频变换和针对双曲调频信号的核函数设计。然后,为抑制接收信号中的直达波干扰,采用参数化旋转时频变换处理接收信号,并进行时频域滤波以分离信号分量,再利用反变换重构回波信号。数值仿真和海上实验结果表明,所提算法不仅能准确估计信号时频特征、有效获取双曲调频连续波信号的时频增益、提升检测性能,还可以有效抑制直达波干扰。

关 键 词:双曲调频信号  连续波声呐  参数化时频变换  时频滤波  

Parameterized Time-frequency Analysis in Continuous-wave Active Detection
XUE Cheng,GU Yiming,GONG Zaixiao,LI Zhenglin.Parameterized Time-frequency Analysis in Continuous-wave Active Detection[J].Acta Armamentarii,2022,43(7):1655-1666.
Authors:XUE Cheng  GU Yiming  GONG Zaixiao  LI Zhenglin
Affiliation:(1.Laboratory of Acoustics, Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China;2.University of Chinese Academy of Science, Beijing 100049, China;3.School of Ocean Engineering and Technology, Sun Yat-sen University, Zhuhai 519000, Guangdong, China)
Abstract:Acontinuous wave signal processing algorithm is proposed based on parameterized time-frequency analysis to address the problems of target echo detection and direct wave interference suppression of hyperbolic frequency modulation signal in continuous-wave active detection. First, based on the analysis of the time-frequency characteristics of the hyperbolic frequency modulated continuous wave signal andthe idea of parameterized time-frequency analysis, we propose afrequency-domain parameterized time-frequency transform suitable for active detection and the kernel function design for hyperbolic frequency modulated signal. Then, to suppress the direct wave interference in the received signal, the parameterized rotating time-frequency transform is used, along with the time-frequency domain filtering in order to separate the signal components, and then the echo signal is reconstructed via the inverse transform. Numerical simulation and marine experimental results show that the proposed algorithm not only can accurately estimate the time-frequency characteristics of the signal, effectively obtain the time-frequency gain of the hyperbolic frequency modulated continuous wave signal, and improve the detection performance, but also can effectively suppress direct wave interference.
Keywords:hyperbolicfrequencymodulationsignal                                                                                                                        continuous-wavesonar                                                                                                                        parameterizedtime-frequencytransformation                                                                                                                        time-frequencyfilter
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