基于声矢量传感器阵的汽车加速噪声源方位辨识

为准确确定噪声发生位置, 判断汽车故障类型, 基于声矢量传感器阵, 研究了汽车加速过程中噪声源方位辨识问题。汽车加速过程中噪声的主要成分燃烧噪声在一定的转速范围内可归结为一个线性调频Chirp信号, 利用由传统的无指向性声压传感器和偶极子指向性质点振速传感器构成的以均匀分布面阵排列的声矢量传感器阵对其进行同步、 共点、 直接测量, 得到声场声压和质点振速若干正交分量等信息, 再利用多重信号分类经典算法对其进行时频分析, 从而估计出噪声信号的方位参数, 获得噪声源的具体方位信息。最后通过仿真结果验证了该方法的有效性。

Orientation Identification of Vehicle Accelerating Noise Sources Based on Acoustic Vector Sensor

In order to determine the location of the noise and the type trouble of the vehicle, a method of orientation identification of vehicle accelerating noise sources is proposed, based on acoustic vector sensor. The combustion noise of the vehicle acceleration noise could boil down to a Chirp signal within a certain speed range. Using the acoustic vector sensor combined with traditional omni directional pressure sensor and dipole directional particle velocity sensor simultaneously and colo
cately measures orthogonal components of particle velocity and pressure at single point in space, and with MUSIC (Multiple Signal Classification) can selectively extract the interested components of the noise sources and present the exact location information. Simulation results verify the performance of the method.