摘要
在海洋环境中,舰船辐射噪声由于其特殊性,很容易被敌方的设备侦测到,这对舰船的航行安全构成了很大的威胁。在辐射噪声中,包含船只机舱的发动机振动噪声、螺旋桨噪声,还有其他一些舰载设备的电磁辐射噪声。本文采用小波算法对复杂的舰船辐射噪声进行特征提取,并通过一定的变换算法,将所获得的噪声功率谱进行过滤,从而提取出所需要的噪声谱图像,通过此图像,科研人员能够有效分析出噪声的来源。最后进行仿真实验,结果说明该小波变换算法能够对舰船的辐射噪声作有效的分辨,这对于舰船减低辐射噪声具有很大的参考价值。
In the marine environment,ship radiated noise because of its specificity,it is easy to detect enemy equipment,which is the safety of navigation of ships constitutes a great threat. Radiation noise,engine vibration noise included ship cabin,propeller noise,as well as some other electromagnetic radiation noise shipboard equipment. In this paper,the wavelet algorithm for complex ship radiated noise feature extraction,and through a certain transformation algorithm,the noise power spectrum obtained was filtered to extract the noise spectral image desired by the image,researchers can effectively analysis of the noise source. End the simulation experiment results show that the wavelet transform algorithm can ship radiated noise to an effective resolution,which has a great reference value for the ship to reduce radiated noise.
出处
《舰船科学技术》
北大核心
2016年第11X期10-12,共3页
Ship Science and Technology
关键词
辐射噪声
小波变换
特征提取
radiated noise
wavelet transform
feature extraction
