Page 158 - 《应用声学》2025年第3期

692 2025 年 5 月

判决概率都优于舰船干扰的，这说明舰船干扰不 [6] Rourke R O. Navy large unmanned surface and undersea
同于高斯白噪声，且有更强的干扰。但相比原 DE- vehicles: Background and issues for congress[N]. Congres-
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MON 谱分析法，本文算法对强舰船干扰下的 UUV [7] 张洪岩. 水下小型 UUV 辐射噪声特征提取技术研究 [D]. 哈
特征提取性能抗噪能力提升更多，更加稳健，可 尔滨: 哈尔滨工程大学, 2019.
能是由于 VMD 抑制了舰船空化噪声产生的连续谱 [8] Railey K, DiBiaso D, Schmidt H. An acoustic remote sens-
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本文将 VMD 引入 DEMON 谱分析算法中，并
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将VMD得到的维纳滤波代替 DEMON谱分析人为 tion of envelope modulation on noise (DEMON) and its
选取的带通滤波，提出了在一种舰船干扰下，用于 application to small boats[C]. OCEANS MTS, Monterey,
CA, 2016.
UUV 螺旋桨边带频率估计的改进 DEMON 谱分析
[11] Dragomiretskiy K, Zosso D. Variational mode decompo-
方法。首先通过信号分析确定在针对 UUV 高频辐 sition[J]. IEEE Transactions on Signal Processing, 2014,
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的 VMD 相较于 EMD、EEMD、WOA-VMD 法，可 算子的滚动轴承故障特征提取 [J]. 振动与冲击, 2016, 35(13):
有效防止模态混叠和过分解。为进一步验证该方法 134–139.
Ma Zengqiang, Li Yachao, Liu Zheng, et al. Rolling bear-
的有效性，将其运用于海试实测数据，其可以在实
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际港口环境强舰船干扰的条件下，有效提取边带频 decomposition and Teager energy operator[J]. Journal of
率。最后通过仿真，与文献 [8]使用的 DEMON谱分 Vibration and Shock, 2016, 35(13): 134–139.
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噪优势。在加入白噪声时，对能量较低的边带，可 of varying-speed rotating machineries[J]. IEEE Transac-
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佳，在判决概率达到 75% 的情况下，抗噪性能均提 composition features for heartbeat classification[C]. 45th
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下提取UUV特征的稳健性。 position and ABC optimized DAG-SVM in arrhythmia
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