Ultrasonic Source Localization with a Beamformer Implemented on an FPGA Using a High-density Microphone Array

Examensarbete för masterexamen

Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12380/255327
Download file(s):
File Description SizeFormat 
255327.pdfFulltext13.59 MBAdobe PDFView/Open
Type: Examensarbete för masterexamen
Master Thesis
Title: Ultrasonic Source Localization with a Beamformer Implemented on an FPGA Using a High-density Microphone Array
Authors: Antonsson, Daniel
Li, Mengxuan
Abstract: A system has been designed which uses a high-density MEMS microphone array and a beamforming algorithm implemented on an FPGA to perform real-time positioning of ultrasonic sources. The array consists of 48 microphones which is a limit derived from the latency of the system; if the latency were to increase further the system could no longer be said to operate in real time. The system calculates signal energy in front of the array and displays the energy on a heatmap which updates at a frequency of 5.2 Hz. It can locate near-monochromatic sources at 20 kHz and narrowband sources at 35 kHz. However, the ability of the system to locate these sources was proven to be unreliable due to a phenomenon called spatial aliasing which causes an ambiguous pattern in the heatmap. Very brief sounds could not be located by the system and the system is also easily disturbed by ambient noise, such as noise from conversations. It was concluded that the first step of any potential future development should be to completely revise the implementation of the beamforming algorithm in order to increase the amount of microphones that can be used and decrease the latency of the system.
Keywords: Informations- och kommunikationsteknik;Data- och informationsvetenskap;Information & Communication Technology;Computer and Information Science
Issue Date: 2018
Publisher: Chalmers tekniska högskola / Institutionen för data- och informationsteknik (Chalmers)
Chalmers University of Technology / Department of Computer Science and Engineering (Chalmers)
URI: https://hdl.handle.net/20.500.12380/255327
Collection:Examensarbeten för masterexamen // Master Theses



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.