摘要
以大量的水下目标辐射噪声资料为依托,借助高阶累积量分析法,研究了目标信号的非高斯特性.基于双谱估计和Walsh维数压缩技术提取了不同类别目标的65维双谱特征.结果表明,该特征对水下目标辐射噪声信号具有很好的分类效果,同时又能有效地抑制高斯有色噪声.对于六类水下目标辐射噪声信号,可取得约92％的正确分类率.
For the radiation noises from underwater targets apparently contain non-Gaussian ingredients, their non-Gaussion features were studied through high-order cumulants. 65 dimensional bispectrum features were extracted from different targets through bispectrum estimation and WALSH dimensionality reduction, which indicates that the features greatly help the classification of noise signals from underwater targets, and efficiently restrains the coloured Gaussian noises. 92% of radiation noise signals from 6 types of underwater targets were properly identified.
出处
《哈尔滨工程大学学报》
EI
CAS
CSCD
2003年第4期390-394,共5页
Journal of Harbin Engineering University
基金
国防科技重点实验室基金资助项目(OOJS22.6.1CB0106).
关键词
水下目标识别
双谱
WALSH变换
underwater target recognition
bispectrum
Walsh transform
