轴频声场和轴频电场均与舰船螺旋桨转动密切相关，本文提出将这2种物理场进行融合提取舰船的轴频特征。首先，分别利用DEMON谱分析和功率谱分析方法提取轴频声场和轴频电场的线谱，之后将所提取的线谱进行融合和净化，最后利用最大公约数法提取轴频特征。为验证所提方法的有效性，利用多艘船舶的实测声场和电场数据进行验证。结果表明，同一艘船舶轴频声场和轴频电场的线谱具有一定频率对应关系，将声场和电场的轴频相关线谱进行融合可有效弥补单一物理场存在线谱丢失的情况；融合声场和电场后，舰船轴频估计的准确性和稳定性优于单一物理场。
Shaft-rate acoustic field and shaft-rate electric field are closely related to ship’s propellers rotation. This paper integrates these two kinds of physical fields to extract ship shaft-rate feature. Firstly, DEMON spectral analysis method and power spectral analysis method are used to extract the line spectrum of shaft-rate acoustic field and shaft-rate electric field, respectively. Then, all the extracted line spectrums are fused and purified. Finally, the maximum common divisor method is used to extract the shaft-rate feature. In order to verify the effectiveness of the proposed method, the acoustic and electric field data of several ships are used. The results show that, the shaft-rate acoustic field and shaft-rate electric field line spectrum of the same ship have good similarity in frequency. The fusion of the shaft-rate acoustic field and electric field line spectrum can effectively compensate for the loss of line spectrum when only single physical field is used. The accuracy and stability of ship shaft frequency estimated by fusion of acoustic field and electric field is better than that of single physical field.
2024,46(8): 25-30 收稿日期：2023-5-14
DOI：10.3404/j.issn.1672-7649.2024.08.005
分类号：TJ61
基金项目：国家自然科学基金资助项目（51509252）
作者简介：喻鹏(1991-),男,博士,讲师,研究方向为军用目标特性及信息感知技术
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