University of Twente Student Theses


Performance and Computational Complexity of Wideband Sound Source Localization Algorithms : A Comprehensive Analysis

Bie, J.A. de (2024) Performance and Computational Complexity of Wideband Sound Source Localization Algorithms : A Comprehensive Analysis.

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Embargo date:1 January 2025
Abstract:Microphone arrays are arrangements of microphones that are used to capture auditory signals within an environment. Due to the difference in the microphone's positions the signals from a signal source present in the environment will arrive at different points in time depending on the microphone's position within the array. Sound source localization (SSL) utilizes the time difference of arrival (TDOA) to extract useful information, with the primary goal being to determine the direction-of-arrival (DOA) of signal sources present in the environment. SSL algorithms are either narrowband or wideband. Narrowband algorithms focus on a narrow frequency band and are therefore only able to locate signal sources that fall within this frequency band. Wideband algorithms observe a much larger frequency band, which allows them to detect multiband signal sources or several narrowband signals emitting signals at different frequencies. Furthermore, wideband algorithms can be used to estimate the frequencies of these signal sources. Although, these wideband algorithms show additional capabilities when compared to narrowband algorithms, their usages are limited due to their increased computational complexity. This increase can however be mitigated by employing parallel processing techniques. In this paper, four different wideband SSL algorithms will be explored to determine their accuracy, precision and computational complexity.
Item Type:Essay (Master)
Benchmark, Almelo, Netherlands
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:31 mathematics, 33 physics, 50 technical science in general, 54 computer science
Programme:Embedded Systems MSc (60331)
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