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Combining MUSIC Algorithm and Adaptive Beamforming to Improve Online Call Quality

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Ad Hoc Networks (ADHOCNETS 2023)

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Abstract

In this paper, proposing a uniform circular microphone array (UCA) model that combines the multiple signal classification algorithm (MUSIC) and the adaptive beamforming technique to improve the quality of online calls. MUSIC algorithm is used to accurately detect the direction of arrival (DOA) of signal sources, while adaptive beamforming using the least mean square (LMS) algorithm can eliminate unacceptable sources and noise. As a result, the UCA system can actively select the desired signal source. Based on simulation results for three narrowband sinusoidal signal sources, the proposed system shows that it meets the requirements of direction detection, changing appropriate adaptive weight values, and limiting the influence of unwanted sources and noise. From there, the desired signal is accurately filtered with consistent filtered power.

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Authors and Affiliations

  1. Hanoi University of Industry, Hanoi, Vietnam

    Huy Hoang Nguyen, Xuan Thanh Pham & Manh Kha Hoang

  2. Vietnam Naval Academy, Nha Trang, Khanh Hoa, Vietnam

    Van Sang Doan

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  1. Huy Hoang Nguyen
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  2. Xuan Thanh Pham
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  3. Van Sang Doan
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  4. Manh Kha Hoang
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Correspondence to Manh Kha Hoang .

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Editors and Affiliations

  1. Hanoi University of Industry, Hanoi, Vietnam

    Nguyen Thi Dieu Linh

  2. Hanoi University of Industry, Hanoi, Vietnam

    Manh Kha Hoang

  3. Hanoi University of Industry, Hanoi, Vietnam

    Trong Hop Dang

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Nguyen, H.H., Pham, X.T., Doan, V.S., Hoang, M.K. (2024). Combining MUSIC Algorithm and Adaptive Beamforming to Improve Online Call Quality. In: Thi Dieu Linh, N., Hoang, M.K., Dang, T.H. (eds) Ad Hoc Networks. ADHOCNETS 2023. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 558. Springer, Cham. https://doi.org/10.1007/978-3-031-55993-8_1

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  • DOI: https://doi.org/10.1007/978-3-031-55993-8_1

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-031-55993-8

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