摘要
在定义信号周期性的基础上,针对多个周期信号、多个周期信号和其他信号单通道混合的情况,提出了基于特征值分析的周期信号盲分离方法,并对算法的可行性、分离误差及分离效果进行了理论分析.仿真结果表明:该方法能适应较低的信噪比,且具有计算量小、易于实现等优点.
Firstly, periodic character of signal was defined. Then, a single channel blind signal separation algorithm of periodic signals was presented, which is based on eigenvalue analysis of mixed signal consisting of multiple periodic signals or periodic signals and other signals. Lastly, separation performance was analyzed theoretically. Simulation results indicate that the algorithm can adapt to lower SNR （Signal Noise Ratio） and is easy to implement with small computational complexity.
出处
《湖南大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2010年第4期42-45,共4页
Journal of Hunan University:Natural Sciences
基金
湖南省优秀博士论文基金资助项目
国防科技大学优秀研究生创新基金资助项目
关键词
信号分析
信息处理技术
单通道盲信号分离
特征值分析
周期信号
signal analysis
information processing technology
single channel blind signal separation
eigenvalue analysis
periodic signal
