Research Article
Combining MUSIC Algorithm and Adaptive Beamforming to Improve Online Call Quality
@INPROCEEDINGS{10.1007/978-3-031-55993-8_1, author={Huy Hoang Nguyen and Xuan Thanh Pham and Van Sang Doan and Manh Kha Hoang}, title={Combining MUSIC Algorithm and Adaptive Beamforming to Improve Online Call Quality}, proceedings={Ad Hoc Networks. 14th EAI International Conference, AdHocNets 2023, Hanoi, Vietnam, November 10-11, 2023, Proceedings}, proceedings_a={ADHOCNETS}, year={2024}, month={3}, keywords={DOA Estimation MUSIC Algorithm Adaptive Beamforming LMS Algorithm UCA}, doi={10.1007/978-3-031-55993-8_1} }- Huy Hoang Nguyen
Xuan Thanh Pham
Van Sang Doan
Manh Kha Hoang
Year: 2024
Combining MUSIC Algorithm and Adaptive Beamforming to Improve Online Call Quality
ADHOCNETS
Springer
DOI: 10.1007/978-3-031-55993-8_1
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.
