›› 2018, Vol. 38 ›› Issue (4): 62-66.DOI: 10.3969/j.issn.1006-1355.2018.04.012

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Improved Beamforming Algorithm and its Application to Multi Acoustic Source Localization

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  • Received:2017-12-18 Revised:2017-12-28 Online:2018-08-18 Published:2018-08-18

改进的波束形成算法及其在多声源定位中的应用

谢雨轩,车驰东   

  1. ( 上海交通大学船舶海洋工程国家重点实验室，上海200240 )
  • 通讯作者: 谢雨轩

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Abstract:

In order to improve the accuracy and reduce the number of sensors required in acoustic source localization, traditional beam-forming algorithm is improved by modifying the scan vector into the form of sine series. And genetic algorithm is also introduced to solve the corresponding non-linear equations for localization. Simplified experiments on multi-source localization are carried out in an anechoic room with Y-shaped sensor arrays and the results of traditional and improved beam forming are compared. It is seen from the comparison that two independent sources can be treated as a single one as the distance between them is small enough. And the two algorithms achieve almost the same accuracy. But the improved algorithm can improve the accuracy for source localization as the distance increases.

摘要：

为提高多点声源工况的定位精确度及简化设备，对传统波束形成算法进行改进。引入改进扫描中的扫描
向量并结合遗传算法对求解域内的非线性方程组进行求解，从而提高定位精度。基于改进算法，在消声室内采用空间
星型（Y型）传感器阵列对不同声源进行定位，并将结果与传统算法定位结果进行比较。由比较可见：当多个声源相距
较近时，这些源等效于单一点源，两种算法定位结果基本一致；但当声源相互距离增大时，改进算法可以有效提高定位
精度，并准确定位多个源的位置。

关键词: 声学, 波束形成, 多声源定位, 扫描向量, 遗传算法

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