一种神经网络的舰船目标噪声提取和分类技术  

A neural network technique for extracting and classifying ship target noise

作　　者：孙航[1] 吴建军[1] 李林 SUN Hang;WU Jian-jun;LI Lin(Kaifeng University,Kaifeng 475000,China)

机构地区：[1]开封大学,河南开封475000

出　　处：《舰船科学技术》2023年第20期194-197,共4页Ship Science and Technology

基　　金：河南省高等学校重点科研项目计划(21A520028)。

摘　　要：本文分析了卷积神经网络的结构原理以及学习方法,给出了舰船噪声低频线谱波形、海洋频谱曲线以及线谱信号波形曲线。对船舶目标噪声进行提取和分类,得到了舰船目标噪声特征响应曲线和噪声信号特征值分布图。本文研究有助于舰船目标噪声处理技术的进一步发展。This article analyzes the structural principles and learning methods of convolutional neural networks,and provides low-frequency line spectrum waveforms of ship noise,ocean spectrum curves,and line spectrum signal waveform curves.Finally,the ship target noise was extracted and classified,and the ship target noise feature response curve and noise signal feature value distribution map were obtained.The research in this article contributes to the further development of ship target noise processing technology.

关 键 词：神经网络 噪声提取 分类技术 

分 类 号：U664.22[交通运输工程—船舶及航道工程]