Simulation of active noise reduction using LMS algorithm: synthetic and field data
Simulation of active noise reduction using least mean squares (LMS) algorithm was carried out to support the development of the ANC (active noise control) prototype, which will be applied to a four-wheeled medium class gasoline-fueled Multi-Purpose Vehicle (MPV) with 2000-2400 cc engines. In this si...
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| Published in | Journal of physics. Conference series Vol. 1951; no. 1; pp. 12042 - 12051 |
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| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Bristol
IOP Publishing
01.06.2021
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1742-6588 1742-6596 1742-6596 |
| DOI | 10.1088/1742-6596/1951/1/012042 |
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| Abstract | Simulation of active noise reduction using least mean squares (LMS) algorithm was carried out to support the development of the ANC (active noise control) prototype, which will be applied to a four-wheeled medium class gasoline-fueled Multi-Purpose Vehicle (MPV) with 2000-2400 cc engines. In this simulation, the LMS is applied to a set of synthetic and field data, to focus on the LMS being successfully applied to all field data, ignoring the delay time between errors and references microphone, and obtaining the optimal LMS step-size and order. Based on the simulation, positive result is shown by the LMS algorithm, where the best result, the superposition of the noise and antinoise signal attenuates and reaches convergence in about 20 ms. In addition, changes in the value of LMS orders do not significantly influence LMS predictions. On the other hand, the change in the step-size value is quite influential on the prediction, where the smaller the step-size, the longer the superposition time to reach convergence. |
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| AbstractList | Simulation of active noise reduction using least mean squares (LMS) algorithm was carried out to support the development of the ANC (active noise control) prototype, which will be applied to a four-wheeled medium class gasoline-fueled Multi-Purpose Vehicle (MPV) with 2000-2400 cc engines. In this simulation, the LMS is applied to a set of synthetic and field data, to focus on the LMS being successfully applied to all field data, ignoring the delay time between errors and references microphone, and obtaining the optimal LMS step-size and order. Based on the simulation, positive result is shown by the LMS algorithm, where the best result, the superposition of the noise and antinoise signal attenuates and reaches convergence in about 20 ms. In addition, changes in the value of LMS orders do not significantly influence LMS predictions. On the other hand, the change in the step-size value is quite influential on the prediction, where the smaller the step-size, the longer the superposition time to reach convergence. |
| Author | Atmojo, AY Basir Taufiq, M Feriadi, Y Sahran |
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| References | Harris (JPCS_1951_1_012042bib2) 1998 Ravinchandra (JPCS_1951_1_012042bib10) 2019; 1228 Yongcheng (JPCS_1951_1_012042bib3) 2001; 23 Kuo (JPCS_1951_1_012042bib4) 1996 Widrow (JPCS_1951_1_012042bib5) 1985 (JPCS_1951_1_012042bib1) 2011 Brown (JPCS_1951_1_012042bib9) 1996 Oppenheim (JPCS_1951_1_012042bib8) 1983 Stark (JPCS_1951_1_012042bib12) 2010; 6 Widrow (JPCS_1951_1_012042bib6) 1996; 4 Jones (JPCS_1951_1_012042bib11) 2018 Ardekani (JPCS_1951_1_012042bib7) 2011 |
| References_xml | – volume: 1228 year: 2019 ident: JPCS_1951_1_012042bib10 article-title: Active Noise Reduction using LMS and FxLMS Algorithms publication-title: Journal of Physics: Conf. Series – volume: 4 start-page: 96 year: 1996 ident: JPCS_1951_1_012042bib6 article-title: Adaptive Switching Circuits publication-title: IRE WESCON Convention Record. – volume: 23 start-page: 119 year: 2001 ident: JPCS_1951_1_012042bib3 article-title: An Overview on Active Noise Control Technology and Application publication-title: Journal of National University of Defence Technology. – year: 2018 ident: JPCS_1951_1_012042bib11 – year: 2011 ident: JPCS_1951_1_012042bib1 – year: 1998 ident: JPCS_1951_1_012042bib2 – volume: 6 start-page: 101 year: 2010 ident: JPCS_1951_1_012042bib12 article-title: Acoustic Echo Cancellation: Dual Architecture Implementation publication-title: Journal of Computer Science doi: 10.3844/jcssp.2010.101.106 – year: 1996 ident: JPCS_1951_1_012042bib4 – year: 1985 ident: JPCS_1951_1_012042bib5 – year: 2011 ident: JPCS_1951_1_012042bib7 article-title: FxLMS-based Active Noise Control: A Quick Review – year: 1983 ident: JPCS_1951_1_012042bib8 – year: 1996 ident: JPCS_1951_1_012042bib9 |
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| SubjectTerms | Active noise control Algorithms Convergence Data simulation Delay time Least mean squares Least mean squares algorithm Multipurpose vehicles Noise control Noise reduction Simulation |
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| Title | Simulation of active noise reduction using LMS algorithm: synthetic and field data |
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