The Development and Analysis of Beamforming Algorithms Used for Designing an Acoustic Camera

Sanja Grubesa; Jasna Stamac; Ivan Krizanic; Antonio Petosic

doi:doi:10.11648/j.ajese.20190304.15

| Peer-Reviewed

The Development and Analysis of Beamforming Algorithms Used for Designing an Acoustic Camera

Sanja Grubesa, Jasna Stamac, Ivan Krizanic, Antonio Petosic

Published in American Journal of Environmental Science and Engineering (Volume 3, Issue 4)

Received: 8 November 2019 Accepted: 29 November 2019 Published: 6 December 2019

Views: Downloads:

Download PDF

Share This Article

Twitter
Linked In
Facebook

Abstract

This paper discusses the beamforming algorithms used in developing an acoustic camera which can be used for the purpose of localizing sound sources. In order to design an acoustic camera which can display results in the form of an intensity map, it is necessary to determine the beamformed signal for all the desired incident angles, i.e. for all the desired pairs of azimuth and elevation angles. For the purpose of obtaining the beamformed signal required for localization of sound sources, two beamforming algorithms, which differ in the domain in which the beamforming is performed, were developed named respectively DASt.m and DASf.m. The aforementioned algorithms are implemented in the numerical computing environment MATLAB and furthermore compared in this paper. The beamforming was carried out using both of the aforementioned algorithms for all desired azimuth and elevation angle pairs and the obtained results were compared. In order to compare these two developed beamforming algorithms measurements were conducted in an open space using a Uniform Circular Array (UCA). The utilized UCA consists of 16 identical omnidirectional microphones which form a basic circular acoustic camera. The research showed that the DASf.m algorithm gives better results than the DASt.m algorithm, especially for the intensity maps of the average of the signal.

Published in	American Journal of Environmental Science and Engineering (Volume 3, Issue 4) This article belongs to the Special Issue Smart Cities – Innovative Approaches
DOI	10.11648/j.ajese.20190304.15
Page(s)	94-102
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2019. Published by Science Publishing Group

Keywords

Beamforming, Delay and Sum Algorithm, Time Difference of Arrival, Acoustic Camera, Uniform Circular Array

References

[1]	J. Grythe, Acoustic camera and beampattern, Technical Note Norsonic, Oslo, Norway, 2015.
[2]	K. Tontiwattanakul, J. Hongweing, P. Trakulsatjawat and P. Noimai, “Design and build of a planar acoustic camera using digital microphones”, 5th International Conference on Engineering, Applied Sciences and Technology (ICEAST), 2019.
[3]	B. Zimmermann and C. Studer, FPGA-based Real-Time Acoustic Camera Prototype, Proc. of IEEE Int. Symp. on Circuits and Systems (ISCAS), Paris, France, 2010.
[4]	J. Stamac, S. Grubesa and A. Petosic, “Designing the Acoustic Camera using MATLAB with respect to different types of microphone arrays”, Second International Colloquium on Smart Grid Metrology, SMAGRIMET 2019.
[5]	M. Brandstein and D. Ward, Microphone Arrays: Signal Processing Techniques and Applications, Digital Signal Processing. Springer, 2001.
[6]	T. E. Tuncer and B. Friedlander, Classical and Modern Direction-of-Arrival Estimation, Academic Press, 2009.
[7]	E. T. Roig, Elisabet, Beamforming Techniques for Environmental Noise, Brüel & Kjær, 2009.
[8]	J. Benesty, J. Cheng and Y. Huang, Microphone Array Signal Processing, Springer-Verlang, 2008.
[9]	http://www.labbookpages.co.uk/audio/beamforming/delaySum.html
[10]	B. D. Van Veen and K. M. Buckley, Beamforming: A versatile approach to spatial filtering, IEEE ASSP Mag., 5 (2), 1988.
[11]	https://www.gras.dk/products/special-microphone/array-microphones/product/178-40ph
[12]	https://www.dji.com/hr/spark
[13]	N. Wu, Z. Qu, W. Si, and S. Jiao, DOA and Polarization Estimation Using an Electromagnetic Vector Sensor Uniform Circular Array Based on the ESPRIT Algorithm, settings, Sensors, 16 (12), 2016.
[14]	National Instruments device cDAQ-9174 http://www.ni.com/en-rs/support/model.cdaq-9174.html
[15]	S. W. Smith, The Scientist and Engineer's Guide to Digital Signal Processing, California Technical Publishing, 1997.

Cite This Article

Plain Text BibTeX RIS

APA Style

Sanja Grubesa, Jasna Stamac, Ivan Krizanic, Antonio Petosic. (2019). The Development and Analysis of Beamforming Algorithms Used for Designing an Acoustic Camera. American Journal of Environmental Science and Engineering, 3(4), 94-102. https://doi.org/10.11648/j.ajese.20190304.15

Copy | Download

ACS Style

Sanja Grubesa; Jasna Stamac; Ivan Krizanic; Antonio Petosic. The Development and Analysis of Beamforming Algorithms Used for Designing an Acoustic Camera. Am. J. Environ. Sci. Eng. 2019, 3(4), 94-102. doi: 10.11648/j.ajese.20190304.15

Copy | Download

AMA Style

Sanja Grubesa, Jasna Stamac, Ivan Krizanic, Antonio Petosic. The Development and Analysis of Beamforming Algorithms Used for Designing an Acoustic Camera. Am J Environ Sci Eng. 2019;3(4):94-102. doi: 10.11648/j.ajese.20190304.15

Copy | Download

@article{10.11648/j.ajese.20190304.15,
  author = {Sanja Grubesa and Jasna Stamac and Ivan Krizanic and Antonio Petosic},
  title = {The Development and Analysis of Beamforming Algorithms Used for Designing an Acoustic Camera},
  journal = {American Journal of Environmental Science and Engineering},
  volume = {3},
  number = {4},
  pages = {94-102},
  doi = {10.11648/j.ajese.20190304.15},
  url = {https://doi.org/10.11648/j.ajese.20190304.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajese.20190304.15},
  abstract = {This paper discusses the beamforming algorithms used in developing an acoustic camera which can be used for the purpose of localizing sound sources. In order to design an acoustic camera which can display results in the form of an intensity map, it is necessary to determine the beamformed signal for all the desired incident angles, i.e. for all the desired pairs of azimuth and elevation angles. For the purpose of obtaining the beamformed signal required for localization of sound sources, two beamforming algorithms, which differ in the domain in which the beamforming is performed, were developed named respectively DASt.m and DASf.m. The aforementioned algorithms are implemented in the numerical computing environment MATLAB and furthermore compared in this paper. The beamforming was carried out using both of the aforementioned algorithms for all desired azimuth and elevation angle pairs and the obtained results were compared. In order to compare these two developed beamforming algorithms measurements were conducted in an open space using a Uniform Circular Array (UCA). The utilized UCA consists of 16 identical omnidirectional microphones which form a basic circular acoustic camera. The research showed that the DASf.m algorithm gives better results than the DASt.m algorithm, especially for the intensity maps of the average of the signal.},
 year = {2019}
}

Copy | Download

TY  - JOUR
T1  - The Development and Analysis of Beamforming Algorithms Used for Designing an Acoustic Camera
AU  - Sanja Grubesa
AU  - Jasna Stamac
AU  - Ivan Krizanic
AU  - Antonio Petosic
Y1  - 2019/12/06
PY  - 2019
N1  - https://doi.org/10.11648/j.ajese.20190304.15
DO  - 10.11648/j.ajese.20190304.15
T2  - American Journal of Environmental Science and Engineering
JF  - American Journal of Environmental Science and Engineering
JO  - American Journal of Environmental Science and Engineering
SP  - 94
EP  - 102
PB  - Science Publishing Group
SN  - 2578-7993
UR  - https://doi.org/10.11648/j.ajese.20190304.15
AB  - This paper discusses the beamforming algorithms used in developing an acoustic camera which can be used for the purpose of localizing sound sources. In order to design an acoustic camera which can display results in the form of an intensity map, it is necessary to determine the beamformed signal for all the desired incident angles, i.e. for all the desired pairs of azimuth and elevation angles. For the purpose of obtaining the beamformed signal required for localization of sound sources, two beamforming algorithms, which differ in the domain in which the beamforming is performed, were developed named respectively DASt.m and DASf.m. The aforementioned algorithms are implemented in the numerical computing environment MATLAB and furthermore compared in this paper. The beamforming was carried out using both of the aforementioned algorithms for all desired azimuth and elevation angle pairs and the obtained results were compared. In order to compare these two developed beamforming algorithms measurements were conducted in an open space using a Uniform Circular Array (UCA). The utilized UCA consists of 16 identical omnidirectional microphones which form a basic circular acoustic camera. The research showed that the DASf.m algorithm gives better results than the DASt.m algorithm, especially for the intensity maps of the average of the signal.
VL  - 3
IS  - 4
ER  -

Copy | Download

Author Information

Sanja Grubesa

Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia
Jasna Stamac

Geolux d. o. o., Zagreb, Croatia
Ivan Krizanic

Geolux d. o. o., Zagreb, Croatia
Antonio Petosic

Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia

Download PDF

Sections

Plain Text BibTeX RIS

APA Style

Sanja Grubesa, Jasna Stamac, Ivan Krizanic, Antonio Petosic. (2019). The Development and Analysis of Beamforming Algorithms Used for Designing an Acoustic Camera. American Journal of Environmental Science and Engineering, 3(4), 94-102. https://doi.org/10.11648/j.ajese.20190304.15

Copy | Download

ACS Style

Sanja Grubesa; Jasna Stamac; Ivan Krizanic; Antonio Petosic. The Development and Analysis of Beamforming Algorithms Used for Designing an Acoustic Camera. Am. J. Environ. Sci. Eng. 2019, 3(4), 94-102. doi: 10.11648/j.ajese.20190304.15

Copy | Download

AMA Style

Sanja Grubesa, Jasna Stamac, Ivan Krizanic, Antonio Petosic. The Development and Analysis of Beamforming Algorithms Used for Designing an Acoustic Camera. Am J Environ Sci Eng. 2019;3(4):94-102. doi: 10.11648/j.ajese.20190304.15

Copy | Download

@article{10.11648/j.ajese.20190304.15,
  author = {Sanja Grubesa and Jasna Stamac and Ivan Krizanic and Antonio Petosic},
  title = {The Development and Analysis of Beamforming Algorithms Used for Designing an Acoustic Camera},
  journal = {American Journal of Environmental Science and Engineering},
  volume = {3},
  number = {4},
  pages = {94-102},
  doi = {10.11648/j.ajese.20190304.15},
  url = {https://doi.org/10.11648/j.ajese.20190304.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajese.20190304.15},
  abstract = {This paper discusses the beamforming algorithms used in developing an acoustic camera which can be used for the purpose of localizing sound sources. In order to design an acoustic camera which can display results in the form of an intensity map, it is necessary to determine the beamformed signal for all the desired incident angles, i.e. for all the desired pairs of azimuth and elevation angles. For the purpose of obtaining the beamformed signal required for localization of sound sources, two beamforming algorithms, which differ in the domain in which the beamforming is performed, were developed named respectively DASt.m and DASf.m. The aforementioned algorithms are implemented in the numerical computing environment MATLAB and furthermore compared in this paper. The beamforming was carried out using both of the aforementioned algorithms for all desired azimuth and elevation angle pairs and the obtained results were compared. In order to compare these two developed beamforming algorithms measurements were conducted in an open space using a Uniform Circular Array (UCA). The utilized UCA consists of 16 identical omnidirectional microphones which form a basic circular acoustic camera. The research showed that the DASf.m algorithm gives better results than the DASt.m algorithm, especially for the intensity maps of the average of the signal.},
 year = {2019}
}

Copy | Download

TY  - JOUR
T1  - The Development and Analysis of Beamforming Algorithms Used for Designing an Acoustic Camera
AU  - Sanja Grubesa
AU  - Jasna Stamac
AU  - Ivan Krizanic
AU  - Antonio Petosic
Y1  - 2019/12/06
PY  - 2019
N1  - https://doi.org/10.11648/j.ajese.20190304.15
DO  - 10.11648/j.ajese.20190304.15
T2  - American Journal of Environmental Science and Engineering
JF  - American Journal of Environmental Science and Engineering
JO  - American Journal of Environmental Science and Engineering
SP  - 94
EP  - 102
PB  - Science Publishing Group
SN  - 2578-7993
UR  - https://doi.org/10.11648/j.ajese.20190304.15
AB  - This paper discusses the beamforming algorithms used in developing an acoustic camera which can be used for the purpose of localizing sound sources. In order to design an acoustic camera which can display results in the form of an intensity map, it is necessary to determine the beamformed signal for all the desired incident angles, i.e. for all the desired pairs of azimuth and elevation angles. For the purpose of obtaining the beamformed signal required for localization of sound sources, two beamforming algorithms, which differ in the domain in which the beamforming is performed, were developed named respectively DASt.m and DASf.m. The aforementioned algorithms are implemented in the numerical computing environment MATLAB and furthermore compared in this paper. The beamforming was carried out using both of the aforementioned algorithms for all desired azimuth and elevation angle pairs and the obtained results were compared. In order to compare these two developed beamforming algorithms measurements were conducted in an open space using a Uniform Circular Array (UCA). The utilized UCA consists of 16 identical omnidirectional microphones which form a basic circular acoustic camera. The research showed that the DASf.m algorithm gives better results than the DASt.m algorithm, especially for the intensity maps of the average of the signal.
VL  - 3
IS  - 4
ER  -

Copy | Download