| 基于互双谱与径向基函数神经网络的舰船目标分类(英文) |
| |
| 引用本文： | 李思纯,杨德森,金莉萍.基于互双谱与径向基函数神经网络的舰船目标分类(英文)[J].船舶与海洋工程学报,2009,8(1):53-57. |
| |
| 作者姓名： | 李思纯 杨德森 金莉萍 |
| |
| 作者单位： | 哈尔滨工程大学,水声技术国防科技重点实验室,黑龙江,哈尔滨,150001
|
| |
| 摘 要： | 提出了声矢量信号互双谱估计算法.利用该算法和其它的二阶、高阶谱估计算法,提取了实测数据的声压和声矢量信号组合特征,并用不同组合特征构造了径向基函数神经网络的输入向量集,对矢量水听器实测的舰船目标进行了分类识别.结果表明,声矢量信号组合特征比声压信号组合特征具有更强的类别可分性,提高了水声目标的识别率.
|
| 关 键 词： | 声矢量信号 互双谱 特征提取 径向基函数神经网络 舰船目标分类 |
Classifying ships by their acoustic signals with a cross-bispectrum algorithm and a radial basis function neural network |
| |
| Si-chun Li,De-sen Yang,Li-ping Jin.Classifying ships by their acoustic signals with a cross-bispectrum algorithm and a radial basis function neural network[J].Journal of Marine Science and Application,2009,8(1):53-57. |
| |
| Authors: | Si-chun Li De-sen Yang Li-ping Jin |
| |
| Institution: | LI Si-chun,YANG De-sen , JIN Li-ping National Laboratory of Underwater Acoustic Technology,Harbin Engineering University,Harbin 150001,China |
| |
| Abstract: | An algorithm for estimating the cross-bispectrum of an acoustic vector signal was formulated.Composed features of sound pressure and acoustic vector signals are extracted by the proposed algorithm and other estimating algorithms for secondary and higher order spectra.Its effectiveness was tested with lake and sea trial data.These features can be used to construct an input vector set for a radial basis function neural network.The classification of vessels can then be made based on the extracted features.It w... |
| |
| Keywords: | acoustic vector signal cross-bispectrum feature extraction RBFNN ship classification |
| 本文献已被 CNKI 维普 万方数据 SpringerLink 等数据库收录！ |
