摘要
在分析偏时域相干算法的基础上,提出了一种新的自适应滤波方法,该方法能够将复合信号中各信号分量进行分离,并自动调整输入信号的参数,使分离出来的信号误差达到最小的信号处理系统,它可以定量分离具有复杂频率成分且频带可互相重叠的信号分量,能对组成混合信号的各个信号分量进行定量的分析,而无论这些信号分量是有用信号还是噪声信号,并能够把组成混合信号的各信号分量进行分离。理论分析和计算机仿真均表明该算法具有较快的自适应跟踪能力和较好的稳态性能,可以很好地应用于信号分离系统中。
Based on analysis of partial time-domain coherence algorithm,the paper introduced a new algorithm of picking up signals from mixed signals with self-correcting of parameter of input signal,It can control the error of separating signal arrived to the minimum.By this way, the authors can quantitstively analyze the mixed signal and its signal components, decompose the mixed signal into expected signal components whether each of their frequency-bands ovedaps or not. Each of the decomposed components can be either useful or noise signal.The algorithm has a rapid track adaptive Capsbility with well stability.It can apply to signal separated system.
出处
《中国测试技术》
2006年第4期15-16,47,共3页
CHINA MEASUREMENT & TESTING TECHNOLOGY
基金
内蒙古自治区自然科学基金资助项目(200308020219)
关键词
LMS临算法
偏时域相干算法
自适应信号处理
自适应滤波
LMS algorithm
Partial time -domain colherence algorithm
Adaptive signal processing
Adaptive filtering
