基于卡尔曼滤波的室内二次辐射噪声测量修正方法  

Correction Method of Indoor Secondary Radiation Noise Measurement Based on Kalman Filter

作　　者：高鑫[1,2] 高力 雷佳鑫 王艳芬 赵才友 GAO Xin;GAO Li;LEI Jiaxin;WANG Yanfen;ZHAO Caiyou(Key Laboratory of High-speed Railway Engineering,State Ministry of Education,Southwest Jiaotong University,Chengdu 610031,China;School of Civil Engineering,Southwest Jiaotong University,Chengdu 610031,China;China Railway Construction Hengcheng Industrial Co.,Ltd.,Zhuhai 519031,Guangdong,China;Zhongguang Nuclear Engineering Co.,Ltd.,Chengdu 610031,China)

机构地区：[1]西南交通大学高速铁路线路工程教育部重点实验室,成都610031 [2]西南交通大学土木工程学院,成都610031 [3]中铁建恒诚实业有限公司,广东珠海519031 [4]中广核工程有限公司,成都610031

出　　处：《噪声与振动控制》2024年第5期229-237,共9页Noise and Vibration Control

基　　金：高速铁路基础研究联合基金资助项目(U1734207);国家自然科学基金面上资助项目(51978585);四川省应用基础研究资助项目(2020YJ0214)。

摘　　要：地铁运营诱发的沿线建筑物二次辐射噪声已成为城市噪声投诉重要来源,大量的轨道减振措施因而得以应用。但是由于测试条件的原因,对减振轨道区间沿线的建筑物二次辐射噪声进行测试所获取的噪声信号往往与背景噪声信号差异较小,致使室内二次辐射噪声评估结果不稳定。为评估观测信号与背景噪声信号接近时的室内二次辐射噪声,提出一种基于卡尔曼滤波方法的楼板振动与室内噪声测试数据联合评估方法。首先,根据卡尔曼滤波器工作原理,提出室内观测噪声误差矩阵和经验公式预测方法误差矩阵的构造方法。而后采用向典型信号中掺入高斯白噪声的方法结合现场实测数据验证了该方法的可行性。最后基于该方法对比分析几种经验预测公式的效果。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.

关 键 词：声学 城市轨道交通 二次辐射噪声 信号处理 室内振动 经验公式 

分 类 号：U211.3[交通运输工程—道路与铁道工程]