汽车行驶运动噪声声源识别仿真研究

Simulation of Moving Vehicle Noise Source Identification

为了降低由于汽车行驶引起的噪声,研究了对运动声源的识别。由于汽车行驶,无法聚焦噪声源。为了解决这个问题,对运动声源辐射的噪声的多普勒效应进行了分析,采用线性插值方法进行了多普勒补偿。在此基础上,将传声器接收的噪声还原成汽车在初始位置发出的噪声,然后基于传声器组成的多臂螺旋阵,利用阵列信号处理技术对噪声源进行识别仿真。仿真结果表明,当存在多普勒效应时,无法对运动噪声源初始位置的识别,经多普勒补偿后,可以实现对行驶汽车噪声源初始位置的识别。与静止状态相比,识别的噪声源存在拖尾现象,速度越快,频率越高,拖尾现象越明显。这些结论为控制汽车噪声工作提供了支持。

In order to reduce the noise which generated by vehicle moving, a moving noise source identification method is studied. Because of vehicle moving, the noise sources cannot be focused on. In order to solve the problem, the Doppler effect of moving noise source is analyzed, and the linear interpolation is carried out in order to remove the Doppler effect, then the noise received by microphone is changed into the noise of vehicle in the initial position, array signals processing based on the multi-arms spiral array is used to identify the noise source. Simulation results show that moving noise source cannot be identified when the Doppler effect exists and can be identified after the Doppler effect correction. Compared with the static state, tailing phenomenon exists in identified noise source, the faster the moving speed and the higher the frequency, the more obvious of the tailing phenomenon.