Data underlying the publication "Using global optimization methods for three-dimensional localization and quantification of incoherent acoustic sources"

The goal of this study was to understand the performance of a global optimisation (GO) method for acoustic source identification versus conventional processing methods such as conventional beamforming. <br>Acoustic measurements were recorded with a phased array of 112 MEMS microphones in the anechoic room of Delft University of Technology. The measurements included several configurations of three speakers in order to record a controlled three-dimensional multi-source environment. These measurements were processed with a global optimization algorithm adapted for acoustic source identification.

本研究旨在探究用于声源识别的全局优化（Global Optimisation，GO）方法，相较于常规波束成形等传统声学信号处理方法的性能表现。声学测量数据由代尔夫特理工大学消声室内的112个微机电系统（MEMS）麦克风相控阵采集得到。本次测量采用三台扬声器的多种布置方案，以构建可控的三维多声源环境。所有采集到的声学数据均采用专为声源识别设计的全局优化算法完成处理。