Menu
Publications
2024
2023
2022
2021
2020
2019
2018
2017
2016
2015
2014
2013
2012
2011
2010
2009
2008
2007
2006
2005
2004
2003
2002
2001
Editor-in-Chief
Nikiforov
Vladimir O.
D.Sc., Prof.
Partners
doi: 10.17586/2226-1494-2020-20-3-455-460
COMPARISON OF BEAMFORMING ALGORITHMS FOR MICROPHONE ARRAYS IN MATLAB
Read the full article
';
Article in Russian
For citation:
Abstract
For citation:
Glukhov A.A. Comparison of beamforming algorithms for microphone arrays in Matlab. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 2020, vol. 20, no. 3, pp. 455–460 (in Russian). doi: 10.17586/2226-1494-2020-20-3-455-460
Abstract
Subject of Research. The paper considers the main quantitative characteristics of microphone arrays in their performance analysis and beamforming algorithms applied for their study. Methods. The principal characteristics, calculation approaches and evaluations were examined. The most widespread beamforming algorithms were analyzed, such as: Delay-and-Sum (DAS), minimum variance distortionless response (MVDR), Frost’s algorithm or linearly constrained minimum variance (LCMV), generalized sidelobe canceller (GSC). The calculations and comparative analysis of the algorithms were performed in Matlab simulation environment. The following quantitative characteristics were obtained: signal-to-noise ratio, signal-interference-noise ratio, directivity index, directivity characteristics, and beamwidth. Main Results. Algorithm comparison results are presented on the example of a linear microphone array. The linearly constrained minimum variance algorithm has shown the most satisfactory results. The simulation results must be clarified by real experiments. Practical Relevance. The results of the work can be used for analysis of more complex microphone arrays and acoustic structures, such as microphone arrays with “floating” geometry and distributed microphone arrays.
Keywords: microphone array, beamforming, directivity pattern, directivity index, frequency response, spatial response
References
References
-
Benesty J., Chen J.,Huang Y. Microphone Array Signal Processing. Berlin, Germany, Springer-Verlag, 2008, 240 p. doi: 10.1007/978-3-540-78612-2
-
Microphone Arrays. Ed. by M. Brandstein, D. Ward. Heidelberg, Germany, Springer-Verlag, 2001, XVIII, 398 p. doi: 10.1007/978-3-662-04619-7
-
Griffiths L.J., Jim C.W. An alternative approach to linearly constrained adaptive beamforming. IEEE Transactions on Antennas and Propagation, 1982, vol. 30, no. 1, pp. 27–34. doi: 10.1109/TAP.1982.1142739
-
Van Trees H. Optimum Array Processing. New York, Wiley-Interscience, 2002, 1472 p. doi: 10.1002/0471221104
-
Lorenz R.G., Boyd S.P. Robust minimum variance beamforming. IEEETransactions on Signal Processing, 2005, vol. 53,no. 5,pp. 1684–1696.doi: 10.1109/TSP.2005.845436
-
Vorobyov S.A., Gershman A.B.,Luo Z.-Q. Robust adaptive beamforming using worst-case performance optimization: a solution to the signal mismatch problem. IEEE Transactions on Signal Processing,2003,vol. 51,no. 2,pp. 313–324.doi: 10.1109/TSP.2002.806865
-
Rappaport T.S. Wireless Communications: Principles & Practice.2nd ed. Prentice-Hall, 2002,640 p.
-
Gaidamaka Yu.V., Samuylov A.K. Method for calculating numerical characteristics of two devices interference for device-to-device communications in a wireless heterogeneous network. Informatics and Applications,2015,vol. 9, no. 1,pp. 9–14. (in Russian)
-
Stolbov M.B., Trong The Quan. Speech acquisition in noisy environments using dual microphone arrays. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, vol. 18, no. 5, pp. 850–857. doi: 10.17586/2226-1494-2018-18-5-850-857 (in Russian)
-
Beamformer Data Specification for Eigenmike Software Beamformer.Version 2 Rev. A. Eigenmike, EigenStudio, and EigenUnits are trademarks of mh acoustics, LLC, 2017,26 p.
