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Advances in Acoustics and Vibration
Volume 2017, Article ID 1894918, 11 pages
https://doi.org/10.1155/2017/1894918
Research Article

Optimization of Fixed Microphone Array in High Speed Train Noises Identification Based on Far-Field Acoustic Holography

School of Automotive and Transportation, Jiangsu University of Technology, Changzhou, Jiangsu, China

Correspondence should be addressed to Rujia Wang; nc.ude.tusj@gnaw.aijur

Received 20 July 2016; Revised 24 December 2016; Accepted 4 January 2017; Published 1 February 2017

Academic Editor: Marc Asselineau

Copyright © 2017 Rujia Wang and Shaoyi Bei. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Acoustical holography has been widely applied for noise sources location and sound field measurement. Performance of the microphones array directly determines the sound source recognition method. Therefore, research is very important to the performance of the microphone array, its array of applications, selection, and how to design instructive. In this paper, based on acoustic holography moving sound source identification theory, the optimization method is applied in design of the microphone array, we select the main side lobe ratio and the main lobe area as the optimization objective function and then put the optimization method use in the sound source identification based on holography, and finally we designed this paper to optimize microphone array and compare the original array of equally spaced array with optimization results; by analyzing the optimization results and objectives, we get that the array can be achieved which is optimized not only to reduce the microphone but also to change objective function results, while improving the far-field acoustic holography resolving effect. Validation experiments have showed that the optimization method is suitable for high speed trains sound source identification microphone array optimization.