Vector Decimation Harmonic Mean-Based Algorithm for Online Acoustic Feedback Active Noise Control
This research addresses the acoustic feedback and stability performance of Active Noise Control (ANC) systems. The Filtered Cross Least Mean Square (FxLMS) algorithm is one of ANC’s most successful adaptive algorithms for reducing undesired noise. The ANC filters have their convergence sp...
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| Format: | Article |
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IEEE
2025-01-01
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| Online Access: | https://ieeexplore.ieee.org/document/11015458/ |
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| author | Suman Turpati Ajay Roy Tathababu Addepalli Mohammed Alkahtani Abdullatif Hakami Ahmad Faiz Minai Abdallah Hammad |
| author_facet | Suman Turpati Ajay Roy Tathababu Addepalli Mohammed Alkahtani Abdullatif Hakami Ahmad Faiz Minai Abdallah Hammad |
| author_sort | Suman Turpati |
| collection | DOAJ |
| description | This research addresses the acoustic feedback and stability performance of Active Noise Control (ANC) systems. The Filtered Cross Least Mean Square (FxLMS) algorithm is one of ANC’s most successful adaptive algorithms for reducing undesired noise. The ANC filters have their convergence speeds reduced by significant acoustic feedback, making them unstable in the worst-case scenario. It is possible to eliminate acoustic feedback using a fixed feedback neutralization filter that can be acquired offline. However, the feedback path could change over time, so we might have to make modifications often while the ANC system is online. This paper proposes two enhancements to the FxLMS algorithm to address the ANC’s performance difficulties. To address acoustic feedback problems, the first alteration improves the ANC duct’s feedback path modeling by incorporating the online Feedback Naturalization (FN) concept with an Active function normalized LMS algorithm (AF-NLMS). The second modification, the vector-decimation-based method, is proposed in this paper as a way to improve stability, convergence speed, and robustness. It is achieved by decimating the filter weight vector into small vectors and then updating each vector using the harmonic mean error of the VSS FxLMS. To ensure the enhanced effectiveness of the proposed solution, the AF-FxLMS, online-AFFNFxLMS, and HM-AFFNFxLMS algorithms are used to update the filter weights as a demonstration. The proposed method has superior noise reduction effectiveness compared to other algorithms, which indiscriminately attenuate the control filter across all frequencies. The validation of the proposed approach was achieved via simulations and experimental tests in a PVC duct ANC system, showing that robust stability can be achieved while keeping relatively good performance. |
| format | Article |
| id | doaj-art-224d149a12e44c98a9ef541df210d346 |
| institution | DOAJ |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-224d149a12e44c98a9ef541df210d3462025-08-20T03:11:17ZengIEEEIEEE Access2169-35362025-01-0113969789699910.1109/ACCESS.2025.357344611015458Vector Decimation Harmonic Mean-Based Algorithm for Online Acoustic Feedback Active Noise ControlSuman Turpati0Ajay Roy1https://orcid.org/0000-0002-6329-8241Tathababu Addepalli2https://orcid.org/0000-0001-8175-4637Mohammed Alkahtani3https://orcid.org/0000-0003-2801-698XAbdullatif Hakami4https://orcid.org/0000-0002-2639-9780Ahmad Faiz Minai5https://orcid.org/0000-0003-1660-4151Abdallah Hammad6https://orcid.org/0000-0003-2962-475XDepartment of Electronics and Communication Engineering, Rajeev Gandhi Memorial College of Engineering and Technology, Nandyala, Andhra Pradesh, IndiaDepartment of Electrical Engineering, College of Engineering, University of Bisha, Bisha, Saudi ArabiaDepartment of Electronics and Communication Engineering, Aditya University, Surampalem, IndiaDepartment of Electrical Engineering, College of Engineering, University of Bisha, Bisha, Saudi ArabiaDepartment of Electrical Engineering, College of Engineering, University of Bisha, Bisha, Saudi ArabiaDepartment of Electrical Engineering, College of Engineering, University of Bisha, Bisha, Saudi ArabiaDepartment of Electrical Engineering, College of Engineering, University of Bisha, Bisha, Saudi ArabiaThis research addresses the acoustic feedback and stability performance of Active Noise Control (ANC) systems. The Filtered Cross Least Mean Square (FxLMS) algorithm is one of ANC’s most successful adaptive algorithms for reducing undesired noise. The ANC filters have their convergence speeds reduced by significant acoustic feedback, making them unstable in the worst-case scenario. It is possible to eliminate acoustic feedback using a fixed feedback neutralization filter that can be acquired offline. However, the feedback path could change over time, so we might have to make modifications often while the ANC system is online. This paper proposes two enhancements to the FxLMS algorithm to address the ANC’s performance difficulties. To address acoustic feedback problems, the first alteration improves the ANC duct’s feedback path modeling by incorporating the online Feedback Naturalization (FN) concept with an Active function normalized LMS algorithm (AF-NLMS). The second modification, the vector-decimation-based method, is proposed in this paper as a way to improve stability, convergence speed, and robustness. It is achieved by decimating the filter weight vector into small vectors and then updating each vector using the harmonic mean error of the VSS FxLMS. To ensure the enhanced effectiveness of the proposed solution, the AF-FxLMS, online-AFFNFxLMS, and HM-AFFNFxLMS algorithms are used to update the filter weights as a demonstration. The proposed method has superior noise reduction effectiveness compared to other algorithms, which indiscriminately attenuate the control filter across all frequencies. The validation of the proposed approach was achieved via simulations and experimental tests in a PVC duct ANC system, showing that robust stability can be achieved while keeping relatively good performance.https://ieeexplore.ieee.org/document/11015458/Acoustic feedbackactive functionfeedback neutralizationvector decimationFxLMSharmonic mean |
| spellingShingle | Suman Turpati Ajay Roy Tathababu Addepalli Mohammed Alkahtani Abdullatif Hakami Ahmad Faiz Minai Abdallah Hammad Vector Decimation Harmonic Mean-Based Algorithm for Online Acoustic Feedback Active Noise Control IEEE Access Acoustic feedback active function feedback neutralization vector decimation FxLMS harmonic mean |
| title | Vector Decimation Harmonic Mean-Based Algorithm for Online Acoustic Feedback Active Noise Control |
| title_full | Vector Decimation Harmonic Mean-Based Algorithm for Online Acoustic Feedback Active Noise Control |
| title_fullStr | Vector Decimation Harmonic Mean-Based Algorithm for Online Acoustic Feedback Active Noise Control |
| title_full_unstemmed | Vector Decimation Harmonic Mean-Based Algorithm for Online Acoustic Feedback Active Noise Control |
| title_short | Vector Decimation Harmonic Mean-Based Algorithm for Online Acoustic Feedback Active Noise Control |
| title_sort | vector decimation harmonic mean based algorithm for online acoustic feedback active noise control |
| topic | Acoustic feedback active function feedback neutralization vector decimation FxLMS harmonic mean |
| url | https://ieeexplore.ieee.org/document/11015458/ |
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