Compressed Sampling and Source Localization of Miniature Microphone Array

Qingyun WANG; Xinchun JI; Ruiyu LIANG; Li ZHAO

doi:10.1587/transfun.E97.A.1902

Compressed Sampling and Source Localization of Miniature Microphone Array

Qingyun WANG, Xinchun JI, Ruiyu LIANG, Li ZHAO

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In the traditional microphone array signal processing, the performance degrades rapidly when the array aperture decreases, which has been a barrier restricting its implementation in the small-scale acoustic system such as digital hearing aids. In this work a new compressed sampling method of miniature microphone array is proposed, which compresses information in the internal of ADC by means of mixture system of hardware circuit and software program in order to remove the redundancy of the different array element signals. The architecture of the method is developed using the Verilog language and has already been tested in the FPGA chip. Experiments of compressed sampling and reconstruction show the successful sparseness and reconstruction for speech sources. Owing to having avoided singularity problem of the correlation matrix of the miniature microphone array, when used in the direction of arrival (DOA) estimation in digital hearing aids, the proposed method has the advantage of higher resolution compared with the traditional GCC and MUSIC algorithms.

Publication: IEICE TRANSACTIONS on Fundamentals Vol.E97-A No.9 pp.1902-1906

Publication Date: 2014/09/01

Publicized

Online ISSN: 1745-1337

DOI: 10.1587/transfun.E97.A.1902

Type of Manuscript: Special Section LETTER (Special Section on Spatial Acoustic Signal Processing and Applications)

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Authors

Qingyun WANG
  Southeast University
Xinchun JI
  Nanjing University of Posts and Telecommunications
Ruiyu LIANG
  Southeast University
Li ZHAO
  Southeast University

Keyword

compressed sampling, source localization, miniature microphone array, digital hearing aids

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Qingyun WANG, Xinchun JI, Ruiyu LIANG, Li ZHAO, "Compressed Sampling and Source Localization of Miniature Microphone Array" in IEICE TRANSACTIONS on Fundamentals, vol. E97-A, no. 9, pp. 1902-1906, September 2014, doi: 10.1587/transfun.E97.A.1902.
Abstract: In the traditional microphone array signal processing, the performance degrades rapidly when the array aperture decreases, which has been a barrier restricting its implementation in the small-scale acoustic system such as digital hearing aids. In this work a new compressed sampling method of miniature microphone array is proposed, which compresses information in the internal of ADC by means of mixture system of hardware circuit and software program in order to remove the redundancy of the different array element signals. The architecture of the method is developed using the Verilog language and has already been tested in the FPGA chip. Experiments of compressed sampling and reconstruction show the successful sparseness and reconstruction for speech sources. Owing to having avoided singularity problem of the correlation matrix of the miniature microphone array, when used in the direction of arrival (DOA) estimation in digital hearing aids, the proposed method has the advantage of higher resolution compared with the traditional GCC and MUSIC algorithms.
URL: https://globals.ieice.org/en_transactions/fundamentals/10.1587/transfun.E97.A.1902/_p

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@ARTICLE{e97-a_9_1902,
author={Qingyun WANG, Xinchun JI, Ruiyu LIANG, Li ZHAO, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Compressed Sampling and Source Localization of Miniature Microphone Array},
year={2014},
volume={E97-A},
number={9},
pages={1902-1906},
abstract={In the traditional microphone array signal processing, the performance degrades rapidly when the array aperture decreases, which has been a barrier restricting its implementation in the small-scale acoustic system such as digital hearing aids. In this work a new compressed sampling method of miniature microphone array is proposed, which compresses information in the internal of ADC by means of mixture system of hardware circuit and software program in order to remove the redundancy of the different array element signals. The architecture of the method is developed using the Verilog language and has already been tested in the FPGA chip. Experiments of compressed sampling and reconstruction show the successful sparseness and reconstruction for speech sources. Owing to having avoided singularity problem of the correlation matrix of the miniature microphone array, when used in the direction of arrival (DOA) estimation in digital hearing aids, the proposed method has the advantage of higher resolution compared with the traditional GCC and MUSIC algorithms.},
keywords={},
doi={10.1587/transfun.E97.A.1902},
ISSN={1745-1337},
month={September},}

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TY - JOUR
TI - Compressed Sampling and Source Localization of Miniature Microphone Array
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1902
EP - 1906
AU - Qingyun WANG
AU - Xinchun JI
AU - Ruiyu LIANG
AU - Li ZHAO
PY - 2014
DO - 10.1587/transfun.E97.A.1902
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E97-A
IS - 9
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - September 2014
AB - In the traditional microphone array signal processing, the performance degrades rapidly when the array aperture decreases, which has been a barrier restricting its implementation in the small-scale acoustic system such as digital hearing aids. In this work a new compressed sampling method of miniature microphone array is proposed, which compresses information in the internal of ADC by means of mixture system of hardware circuit and software program in order to remove the redundancy of the different array element signals. The architecture of the method is developed using the Verilog language and has already been tested in the FPGA chip. Experiments of compressed sampling and reconstruction show the successful sparseness and reconstruction for speech sources. Owing to having avoided singularity problem of the correlation matrix of the miniature microphone array, when used in the direction of arrival (DOA) estimation in digital hearing aids, the proposed method has the advantage of higher resolution compared with the traditional GCC and MUSIC algorithms.
ER -