Correction Method of Indoor Secondary Radiation Noise Measurement Based on Kalman Filter
The secondary radiation noise of buildings along the line induced by subway operation has become an main source of urban noise complaints,and a large number of track vibration reduction measures have been applied.However,due to the limitation of test conditions,the difference between the noise signal and the background noise signal obtained in the secondary radiation noise test of buildings along the vibration reduction track section is small,resulting in the instability of the indoor secondary radiation noise evaluation results.In order to evaluate the indoor secondary radiation noise when the observation signal is close to the background noise signal,this paper proposes a joint evaluation method of floor vibration and indoor noise test data based on Karlman filtering method.Firstly,according to the working principle of Karlman filter,the construction methods of the error matrix of indoor observation noise and the error matrix of empirical formula prediction method are proposed.Then,the feasibility of the joint evaluation method is verified by adding Gaussian white noise into the typical signal and combining the field measurement data.Finally,the effects of several empirical prediction formulas are compared and discussed.
acousticsurban rail transitsecondary radiation noisesignal processingindoor vibrationempirical formula
万方数据
维普
