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第 44 卷 第 3 期                                                                       Vol. 44, No. 3
             2025 年 5 月                          Journal of Applied Acoustics                      May, 2025

             ⋄ 研究报告 ⋄


                     强舰船干扰条件下的无人水下航行器目标

                                          特征稳健提取方法                           ∗




                                            王 仪     1,2  许 枫     1   杨 娟    1†


                                       (1 中国科学院声学研究所海洋声学技术实验室            北京   100190)
                                                (2 中国科学院大学     北京   100049)

                摘要:针对强舰船干扰条件下无人水下航行器 (UUV) 螺旋桨边带频率提取困难问题,提出一种基于变分模态
                分解改进的 DEMON 谱分析法,用于对 UUV 螺旋桨边带频率估计。利用变分模态分解自适应构造的最优维
                纳滤波,提升抗噪能力的同时代替人为选取包络调制噪声检测 (DEMON) 谱分析带通滤波器,进而提取 UUV
                高频辐射噪声中的边带螺旋桨旋转频率。分析了用于 UUV 特征提取的变分模态分解参数设置,据此参数验证
                了该方法在实际舰船干扰下对 UUV 边带频率提取的有效性。并通过仿真验证了在一定信噪比舰船噪声背景
                下,改进算法相比于原 DEMON 谱分析法提取边带线谱的优势。
                关键词:UUV 特征提取;变分模态分解;DEMON 谱分析;舰船干扰
                中图法分类号: TB566           文献标识码: A          文章编号: 1000-310X(2025)03-0685-08
                DOI: 10.11684/j.issn.1000-310X.2025.03.017


                The robust feature extraction method of unmanned undersea vehicle under
                                         strong ship interference condition


                                                              1
                                         WANG Yi   1,2 , XU Feng and YANG Juan 1
                (1 Ocean Acoustic Technology Laboratory, Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China)
                                   (2 University of Chinese Academy of Sciences, Beijing 100049, China)

                 Abstract: In order to solve the problem of side-band frequency extraction of unmanned undersea vehicle
                 (UUV) propeller under the condition of strong ship interference, an improved DEMON spectrum analysis
                 method based on variational mode decomposition was proposed to estimate the sideband frequency of UUV
                 propeller. The optimal Wiener filter that is structured by variational mode decomposition adaptively is used
                 to instead the detection of envelope modulation on noise (DEMON) spectral bandpass filter artificially. The
                 improved algorithm can extract the side-band propeller rotation frequency in the high-frequency radiation noise
                 of UUV, and then the rotational propeller speed can be estimated. The actual signals are analyzed to confirm
                 the parameters of variational modal decomposition for UUV feature extraction. Based on this parameter, the
                 effectiveness of the proposed method for UUV side-band frequency adaptive extraction under the interference
                 of ship radiated noise is verified. And simulation is used to verify the advantage of the improved algorithm
                 over the original DEMON spectrum analysis method in extracting side-band frequency, under ship interference
                 with a certain signal-to-noise ratio.
                 Keywords: Feature extraction of UUV; Variational mode decomposition; DEMON spectrum analysis; Ship
                 interference
             2023-11-15 收稿; 2023-12-27 定稿
             中国科学院基金项目 (8091A120105)
             ∗
             作者简介: 王仪 (1997– ), 女, 山东威海人, 博士研究生, 研究方向: 水声信号处理。
             † 通信作者 E-mail: yangjuan@mail.ioa.ac.cn
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