摘要
为了解决电磁场信号测量中的工频及其谐波干扰问题,将盲源分离(BSS)应用于电磁场信号的工频干扰消除。从盲源分离和独立分量分析(ICA)的统一模型出发,分析了快速ICA算法和最大信噪比ICA算法的目标函数选择及算法推导,并分别对计算机随机产生不同波形信号和实测的电磁场信号进行分离,结果显示:无论从相似系数还是运算时间上看,最大信噪比ICA算法明显优于快速ICA算法。
Blind signal separation（BSS）is applied to electromagnetic signals in order to remove the power line interference. Unified model of BSS and ICA is established. Objective functions and arithmetics of fast ICA and maximum signal-noise-ratio ICA are analyzed. Different vaveform signals produced by computer and signals received by magnetic antenna are both separated by the two arithmetics. The result is that maximum signal-noise-ratio ICA is superior to fast ICA from similar coefficient and operation time.
出处
《计算机与数字工程》
2012年第9期29-31,65,共4页
Computer & Digital Engineering
关键词
工频干扰
盲源分离
独立分量分析
最大信噪比
快速ICA
power line interference
blind signal separation（BSS）
independent components analysis（ICA）
maximum signal-noise-ratio
fast ICA
