Abstract
Sound source localization has numerous applications such as detection and localization of mechanical or structural failures in vehicles and buildings or bridges, security systems, collision avoidance, and robotic vision. The paper presents the design of an anechoic chamber, sensor arrays and an analysis of how the data acquired from the sensors could be used for sound source localization and object detection. An anechoic chamber is designed to create a clean environment which isolates the experiment from external noises and reverberation echoes. An FPGA based data acquisition system is developed for a flexible acoustic sensor array platform. Using this sensor platform, we investigate direction of arrival estimation and source localization experiments with different geometries and with different numbers of sensors. We further present a discussion of parameters that influence the sensitivity and accuracy of the results of these experiments.
Highlights
There is currently a significant amount of research and applications which use sound and ultrasound detection and analysis
The paper presents the design of an anechoic chamber, sensor arrays and an analysis of how the data acquired from the sensors could be used for sound source localization and object detection
We investigate direction of arrival estimation and source localization experiments with different geometries and with different numbers of sensors
Summary
There is currently a significant amount of research and applications which use sound and ultrasound detection and analysis. There are a large number of issues encountered in the real world environment which make realistic application of the theory significantly more difficult [8,11,12,13]. This includes ambient sound and electrical noise, presence of wideband non-stationary source signals, presence of reverberation echoes, high frequency sources which require higher speed systems, and fluctuation of ambient temperature and humidity which affect the speed at which sound waves propagate. We explain the sound localization techniques, introduce the proposed sensor platform and discuss the experimentation setups with the corresponding sound and ultrasound localization performance
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