低信噪比情况下识别模态参数的时域平均方法

A TIME-DOMAIN AVERAGE METHOD TREATING THE CASE OF LOWER SIGNAL TO NOISE RATIO FOR MODAL PARAMETER IDENTIFICATION

1.引官 模态参数识别方法在应用中需要解决的一个重要问题是观测噪声的干扰问题。为了有效地抑制观测噪声的影响,各种时域参数识别方法普遍引入了估计方法,以ITDM为代表的利用脉冲响应包括对脉冲激励的响应和脉冲响应函数)

rithm (ERA)and Ibrahim Time-Domain Method(ITDM), a Time-Domain Average Method for identifying modal parameter with impulsive response is presented in this paper. The advantage of this method is that it has combined the advantages of ERA and ITDM,i.e.the measuring data is correlatively filted after being averaged in time-domain. Hence, it can be used to treat the cases of lower signal to noise ratio.