摘要
提出了一种基于信号隐含周期性的循环平稳信号盲源分离算法。该方法充分利用了循环平稳信号具有隐含周期性成分的特性,不需要估计信号的循环频率,特别适用于循环平稳信号的分离。本算法在提取循环平稳信号的周期性分量的同时,剔除其中的随机分量,因此,计算机仿真和实验验证了该方法的有效性和循环平稳信号的分离次序。
A novel blind separation algorithm is proposed for cyclostationary signals. The hidden periodicity of cyclostationary signals is used and cyclic frequency in the algorithm is unknown. It is particularly suitable for the separation of cyclostationary signals. In this algorithm,the periodic components of the signal are extracted and the random components is removed,therefore,the effectiveness of the method and separation orders of cyclostationary signals are successfully verified by computer simulations and experiments.
出处
《河南理工大学学报（自然科学版）》
CAS
北大核心
2015年第4期577-581,共5页
Journal of Henan Polytechnic University（Natural Science）
基金
国家自然科学基金资助项目(U1304523
51205371)
河南理工大学博士基金资助项目(648491)
关键词
盲源分离
循环平稳性
循环平稳信号
盲信号提取
源分离
机械故障诊断
blind source separation
cyclostationarity
cyclostationary signals
blind signal extraction
source separation
