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

DOI:10.4121/ce9a42e9-cd6c-4a2d-9d6a-be20e88af414.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/ce9a42e9-cd6c-4a2d-9d6a-be20e88af414

Datacite citation style

von den Hoff, Bieke; Merino-Martínez, Roberto; Snellen, Mirjam; Simons, Dick (2025): Data underlying the publication "Using global optimization methods for three-dimensional localization and quantification of incoherent acoustic sources". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/ce9a42e9-cd6c-4a2d-9d6a-be20e88af414.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

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.


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.

History

  • 2025-05-12 first online, published, posted

Publisher

4TU.ResearchData

Format

tdms, Excel, Matlab code

Organizations

TU Delft, Faculty of Aerospace Engineering, Department of Control and Operations, Operations and Environment

DATA

Files (9)