关差

利用互相关差分模型在环境激励下提取模态参数

Modal parameter identification using the difference model with cross - correlation function from ambient response

结果表明，多参考点互相关差分模型能够有效地进行环境激励下的模态识别，并且多项式特征值法比增广矩阵法所得结果更好。

It shows that the presented method can be used to identify modal parameters effectively under ambient excitation and that the polynomial eigenvalue method is superior to the augmented matrix method .

针对这一实际情况，首先从经典差分模型入手，推导出了环境激励下的多参考点互相关差分模型，然后分别采用增广矩阵法和多项式特征值法求解模态参数。

A poly reference difference model with a cross correlation function is derived from the classical difference model in this paper . The augmented matrix method and polynomial eigenvalue method are used to get modal parameters respectively .

而在扩频技术中，传统的扩频码地址数目有限，互相关性差。

There are limited of address and poor mutual correlation for traditional spread spectrum .

这月又没关饷，这差事实在干不下去了。

With no payment again this month , I cannot do this job any more .

结果采用互相关法确定相位差，不但将发生相位变化的频率点准确定位，而且将相位的变化量准确求出。

Result It showed that this method not only pinpointed the phase variation in frequency , but also calculated the phase variation quantitatively .

试验结果表明，互相关复指数法比互相关差分模型能够更精确地单独从实测响应数据提取结构的模态参数。

And the results show that the proposed complex exponential method is more accurate than the proposed difference model for the modal identification from response-only .