主成分分析在舰船辐射噪声分类识别中的应用

Application of principal component analysis to ship-radiated noise classification and recognition

主成分分析(PCA)是经典的多元统计分析方法,在处理多变量综合问题方面有比较突出的优势。本文主要探讨了主成分分析在舰船辐射噪声信号分类识别中的应用。在经典功率谱的基础上尝试将PCA技术运用在两种不同的方法中,对两种舰船辐射噪声进行了特征提取和分类识别,得到了较好的效果。

Principal Component Analysis is a classic multivariate statistical analysis method, which has obvious advantage in the integrated multi-variable problem. This paper works on the application of PCA to the ship-radiated noise classification and recognition. By using the PCA technology to two different methods on the basis of classic power spectrum, we extract features of 2 different types of ship-radiated noises and complete the classification and recognition. The results indicate that the method is effective and valid.