用于波束形成技术的声场分离方法
首发时间:2018-03-13
摘要:波束形成(Beamforming)技术是一种功能强大的噪声源识别技术。但是当测量阵列另外一侧存在干扰声源时,传统的波束形成技术识别结果存在较大误差。通过在波束形成技术中引入声场分离方法可以消除干扰声源的影响,但是现有的适用于波束形成技术的声场分离方法在高频及测量面间距较大时会产生很大误差。为解决该问题,本文对提出一种修正的声场分离方法,增强了在高频和测量面间距较大时的声场分离精度,保证了声源识别精度。论文首先对该分离算法的原理进行了推导,然后通过数值仿真和实验验证了本文所提修正方法的有效性。
For information in English, please click here
Sound field separation method for Beamforming technique
Abstract:Beamforming is a powerful noise source identification technique. However, when there are disturbing sources on the other side of the measurement array, the conventional beamforming technology will fail to identify noise sources. The infulence of disturbing sources can be eliminated by introducing a sound field separation method into the beamforming technique. However, the existing sound field separation method suitable for beamforming is less effective at high frequency or when the spacing between the two measurement surfaces is relatively large. In order to solve this problem, a modified sound field separation method is proposed to enhance the sound field separation accuracy at high frequency and in the case when the spacing between the two measurement surfaces is relatively large, which can ensure the sound source identification accuracy when it is inserted into the Beamforming. Firstly, the principle of the separation method is introduced, and then numerical simulation and experiment are conducted to verify the validity of the modified method.
Keywords: double-layer array sound field separation Beamforming
基金:
引用
No.****
同行评议
共计0人参与
勘误表
用于波束形成技术的声场分离方法
评论
全部评论0/1000