An intelligent momentum perturbed variable step-size adaptive algorithm for fast converging HNANC systems
The existing methodologies for hybrid narrow-band active noise control (HNANC) systems utilises variants of the FXLMS algorithm, which typically resulted in degraded convergence and steady-state performance. In this paper, a class of variable step size (VSS) adaptive algorithms are explicitly develo...
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| Vydáno v: | Digital signal processing Ročník 145; s. 104305 |
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| Médium: | Journal Article |
| Jazyk: | angličtina |
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Elsevier Inc
01.02.2024
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| ISSN: | 1051-2004, 1095-4333 |
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| Abstract | The existing methodologies for hybrid narrow-band active noise control (HNANC) systems utilises variants of the FXLMS algorithm, which typically resulted in degraded convergence and steady-state performance. In this paper, a class of variable step size (VSS) adaptive algorithms are explicitly developed for a HNANC system analyses and the convergence as well as the steady-state performance of the proposed framework are evaluated in comparison to the existing state-of-the-art. For an HNANC system designed to operate in a multiple noise environment, the VSS filtered-x LMS (VSSFXLMS) and momentum VSS filtered- x weight accumulated least mean square (MVSS-FXWALMS) algorithms are proposed. The proposed algorithm employs a variable step size that is inspired by the variable momentum factor, and combines these two parameters to drive the FXWALMS algorithm for an HNANC system in order to accomplish maximum noise reduction. In a multiple noise environment setup for an HNANC system, the proposed algorithm surpasses the state-of-the-art in nearly all conventional operating conditions. A detailed performance analysis of the proposed algorithm has been carried out using mean noise reduction ratio, steady-state power spectra at different conditions. The results demonstrate a significant improvement in noise reduction performance compared to the counterparts. |
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| AbstractList | The existing methodologies for hybrid narrow-band active noise control (HNANC) systems utilises variants of the FXLMS algorithm, which typically resulted in degraded convergence and steady-state performance. In this paper, a class of variable step size (VSS) adaptive algorithms are explicitly developed for a HNANC system analyses and the convergence as well as the steady-state performance of the proposed framework are evaluated in comparison to the existing state-of-the-art. For an HNANC system designed to operate in a multiple noise environment, the VSS filtered-x LMS (VSSFXLMS) and momentum VSS filtered- x weight accumulated least mean square (MVSS-FXWALMS) algorithms are proposed. The proposed algorithm employs a variable step size that is inspired by the variable momentum factor, and combines these two parameters to drive the FXWALMS algorithm for an HNANC system in order to accomplish maximum noise reduction. In a multiple noise environment setup for an HNANC system, the proposed algorithm surpasses the state-of-the-art in nearly all conventional operating conditions. A detailed performance analysis of the proposed algorithm has been carried out using mean noise reduction ratio, steady-state power spectra at different conditions. The results demonstrate a significant improvement in noise reduction performance compared to the counterparts. |
| ArticleNumber | 104305 |
| Author | Kar, Asutosh |
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| Cites_doi | 10.1016/j.measurement.2013.11.010 10.1016/j.sigpro.2014.04.004 10.1016/j.apacoust.2018.11.034 10.1109/TASL.2011.2112349 10.1016/j.apacoust.2021.108396 10.1109/TCSI.2019.2910290 10.1016/j.buildenv.2015.07.009 10.1016/j.apacoust.2021.108511 10.1016/j.apacoust.2017.10.026 10.1016/j.apacoust.2021.108419 10.1016/j.apacoust.2018.11.022 10.1016/j.ymssp.2018.10.009 10.1016/j.jsv.2015.04.018 10.1016/j.dsp.2016.08.012 10.3390/app12042244 10.1016/j.sigpro.2015.04.021 10.1016/j.apacoust.2017.12.029 10.1007/s42417-022-00696-5 |
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| Keywords | Mean noise reduction Hybrid active noise cancellation Adaptive filter Performance analysis Least mean square Mean square error |
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| References | Chang, Kuo, Huang (br0150) 2018; 131 Wang, Song, Wang, Wang, Liu (br0030) 2022; 186 Ho, Shyu, Chang, Kuo (br0100) 2019 Haykin (br0210) 2005 Padhi, Chandra, Kar, Swamy (br0120) 2019; 146 Bo, Sun, Xu, Jiang (br0250) 2014; 48 Guo, Jiang, Tan, Du (br0130) 2019; 146 Lopes, Gerald, Piedade (br0180) 2017; 60 Song, Zhao (br0140) 2019; 120 Wu, Qiu, Burnett, Guo (br0200) 2015; 350 Kuo, Morgan (br0260) 1996 Chu, Wu, Sun, Yang, Chen (br0050) 2022; 12 Bo, Yang, Sun, Jiang (br0240) 2014; 104 Tang, Lin, He, Wei, Zheng, Chen (br0010) 2023; 11 Huang, Xiao, Ma, Wei, Sun (br0220) 2015; 117 Akhtar, Mitsuhashi (br0230) 2011; 19 Aslam, Shi, Lim (br0060) 2019; 66 Zhou, Xia, Li, Wang (br0020) 2022; 188 Bai, Chen, Yang (br0070) 2019 Wu, Niu, Guo (br0110) 2022; 185 Padhi, Chandra, Kar (br0090) 2018; 133 Shen, Shi, Gan (br0040) 2022 Chu (br0190) 2015; 94 Padhi, Chandra, Kar, Swamy (br0170) 2019; 146 Akhtar (br0080) 2019 Wu, Liu, Fan (br0160) 2018 Bo (10.1016/j.dsp.2023.104305_br0240) 2014; 104 Kuo (10.1016/j.dsp.2023.104305_br0260) 1996 Wu (10.1016/j.dsp.2023.104305_br0160) 2018 Padhi (10.1016/j.dsp.2023.104305_br0170) 2019; 146 Wang (10.1016/j.dsp.2023.104305_br0030) 2022; 186 Wu (10.1016/j.dsp.2023.104305_br0110) 2022; 185 Song (10.1016/j.dsp.2023.104305_br0140) 2019; 120 Wu (10.1016/j.dsp.2023.104305_br0200) 2015; 350 Padhi (10.1016/j.dsp.2023.104305_br0120) 2019; 146 Tang (10.1016/j.dsp.2023.104305_br0010) 2023; 11 Huang (10.1016/j.dsp.2023.104305_br0220) 2015; 117 Akhtar (10.1016/j.dsp.2023.104305_br0230) 2011; 19 Chu (10.1016/j.dsp.2023.104305_br0190) 2015; 94 Lopes (10.1016/j.dsp.2023.104305_br0180) 2017; 60 Akhtar (10.1016/j.dsp.2023.104305_br0080) 2019 Haykin (10.1016/j.dsp.2023.104305_br0210) 2005 Bai (10.1016/j.dsp.2023.104305_br0070) 2019 Bo (10.1016/j.dsp.2023.104305_br0250) 2014; 48 Shen (10.1016/j.dsp.2023.104305_br0040) 2022 Chang (10.1016/j.dsp.2023.104305_br0150) 2018; 131 Guo (10.1016/j.dsp.2023.104305_br0130) 2019; 146 Aslam (10.1016/j.dsp.2023.104305_br0060) 2019; 66 Chu (10.1016/j.dsp.2023.104305_br0050) 2022; 12 Padhi (10.1016/j.dsp.2023.104305_br0090) 2018; 133 Ho (10.1016/j.dsp.2023.104305_br0100) 2019 Zhou (10.1016/j.dsp.2023.104305_br0020) 2022; 188 |
| References_xml | – volume: 120 start-page: 69 year: 2019 end-page: 82 ident: br0140 article-title: Filtered-x least mean square/fourth (fxlms/f) algorithm for active noise control publication-title: Mech. Syst. Signal Process. – volume: 188 year: 2022 ident: br0020 article-title: An efficient algorithm for impulsive active noise control using maximum correntropy with conjugate gradient publication-title: Appl. Acoust. – volume: 131 start-page: 154 year: 2018 end-page: 164 ident: br0150 article-title: Secondary path modeling for narrowband active noise control systems publication-title: Appl. Acoust. – volume: 186 year: 2022 ident: br0030 article-title: Hybrid vibro-acoustic active control method for vehicle interior sound quality under high-speed publication-title: Appl. Acoust. – year: 1996 ident: br0260 article-title: Active Noise Control: Algorithms and DSP Implementations – start-page: 8474 year: 2019 end-page: 8478 ident: br0100 article-title: Equation-error model based active noise cancellation systems publication-title: ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) – volume: 185 year: 2022 ident: br0110 article-title: Active noise control pillow based on the combination of the fixed and adaptive feedback structures publication-title: Appl. Acoust. – year: 2005 ident: br0210 article-title: Adaptive Filter Theory – volume: 133 start-page: 215 year: 2018 end-page: 226 ident: br0090 article-title: Performance evaluation of hybrid active noise control system with online secondary path modeling publication-title: Appl. Acoust. – volume: 350 start-page: 1 year: 2015 end-page: 10 ident: br0200 article-title: Decoupling feedforward and feedback structures in hybrid active noise control systems for uncorrelated narrowband disturbances publication-title: J. Sound Vib. – volume: 11 start-page: 2181 year: 2023 end-page: 2192 ident: br0010 article-title: Design and research of active noise control structure based on nalms algorithm publication-title: J. Vib. Eng. Technol. – volume: 146 start-page: 355 year: 2019 end-page: 367 ident: br0170 article-title: A new adaptive control strategy for hybrid narrowband active noise control systems in a multi-noise environment publication-title: Appl. Acoust. – volume: 19 start-page: 2058 year: 2011 end-page: 2066 ident: br0230 article-title: Improving performance of hybrid active noise control systems for uncorrelated narrowband disturbances publication-title: IEEE Trans. Audio Speech Lang. Process. – start-page: 674 year: 2019 end-page: 677 ident: br0080 article-title: A fully adaptive feedback anc system employing online estimation of the cancellation path publication-title: 2019 IEEE 62nd International Midwest Symposium on Circuits and Systems (MWSCAS) – volume: 60 start-page: 75 year: 2017 end-page: 80 ident: br0180 article-title: The mmfxlms algorithm for active noise control with on-line secondary path modelling publication-title: Digit. Signal Process. – year: 2018 ident: br0160 article-title: An improved hybrid active noise control system publication-title: 2018 International Conference on Network, Communication, Computer Engineering (NCCE 2018) – volume: 146 start-page: 355 year: 2019 end-page: 367 ident: br0120 article-title: A new adaptive control strategy for hybrid narrowband active noise control systems in a multi-noise environment publication-title: Appl. Acoust. – volume: 117 start-page: 69 year: 2015 end-page: 81 ident: br0220 article-title: A simplified variable step-size lms algorithm for fourier analysis and its statistical properties publication-title: Signal Process. – volume: 94 start-page: 873 year: 2015 end-page: 882 ident: br0190 article-title: A new regularized subband anc algorithm with online secondary-path modeling: performance analysis and application to buildings publication-title: Build. Environ. – volume: 146 start-page: 310 year: 2019 end-page: 319 ident: br0130 article-title: Improved adaptive recursive even mirror fourier nonlinear filter for nonlinear active noise control publication-title: Appl. Acoust. – volume: 48 start-page: 282 year: 2014 end-page: 291 ident: br0250 article-title: A variable momentum factor filtered-x weighted accumulated lms algorithm for narrowband active noise control systems publication-title: Measurement – volume: 104 start-page: 296 year: 2014 end-page: 310 ident: br0240 article-title: A filtered-x weighted accumulated lms algorithm: stochastic analysis and simulations for narrowband active noise control system publication-title: Signal Process. – start-page: 8702 year: 2022 end-page: 8706 ident: br0040 article-title: A hybrid approach to combine wireless and earcup microphones for anc headphones with error separation module publication-title: ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) – volume: 66 start-page: 3955 year: 2019 end-page: 3967 ident: br0060 article-title: Robust active noise control design by optimal weighted least squares approach publication-title: IEEE Trans. Circuits Syst. I, Regul. Pap. – start-page: 8469 year: 2019 end-page: 8473 ident: br0070 article-title: A novel approach for feedforward control of noise in ducts using simplified multichannel inverse filters publication-title: ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) – volume: 12 start-page: 2244 year: 2022 ident: br0050 article-title: Some practical acoustic design and typical control strategies for multichannel active noise control publication-title: Appl. Sci. – year: 1996 ident: 10.1016/j.dsp.2023.104305_br0260 – start-page: 8702 year: 2022 ident: 10.1016/j.dsp.2023.104305_br0040 article-title: A hybrid approach to combine wireless and earcup microphones for anc headphones with error separation module – start-page: 8474 year: 2019 ident: 10.1016/j.dsp.2023.104305_br0100 article-title: Equation-error model based active noise cancellation systems – volume: 48 start-page: 282 year: 2014 ident: 10.1016/j.dsp.2023.104305_br0250 article-title: A variable momentum factor filtered-x weighted accumulated lms algorithm for narrowband active noise control systems publication-title: Measurement doi: 10.1016/j.measurement.2013.11.010 – year: 2005 ident: 10.1016/j.dsp.2023.104305_br0210 – volume: 104 start-page: 296 year: 2014 ident: 10.1016/j.dsp.2023.104305_br0240 article-title: A filtered-x weighted accumulated lms algorithm: stochastic analysis and simulations for narrowband active noise control system publication-title: Signal Process. doi: 10.1016/j.sigpro.2014.04.004 – volume: 146 start-page: 355 year: 2019 ident: 10.1016/j.dsp.2023.104305_br0170 article-title: A new adaptive control strategy for hybrid narrowband active noise control systems in a multi-noise environment publication-title: Appl. Acoust. doi: 10.1016/j.apacoust.2018.11.034 – volume: 19 start-page: 2058 issue: 7 year: 2011 ident: 10.1016/j.dsp.2023.104305_br0230 article-title: Improving performance of hybrid active noise control systems for uncorrelated narrowband disturbances publication-title: IEEE Trans. Audio Speech Lang. Process. doi: 10.1109/TASL.2011.2112349 – volume: 185 year: 2022 ident: 10.1016/j.dsp.2023.104305_br0110 article-title: Active noise control pillow based on the combination of the fixed and adaptive feedback structures publication-title: Appl. Acoust. doi: 10.1016/j.apacoust.2021.108396 – volume: 66 start-page: 3955 issue: 10 year: 2019 ident: 10.1016/j.dsp.2023.104305_br0060 article-title: Robust active noise control design by optimal weighted least squares approach publication-title: IEEE Trans. Circuits Syst. I, Regul. Pap. doi: 10.1109/TCSI.2019.2910290 – volume: 94 start-page: 873 year: 2015 ident: 10.1016/j.dsp.2023.104305_br0190 article-title: A new regularized subband anc algorithm with online secondary-path modeling: performance analysis and application to buildings publication-title: Build. Environ. doi: 10.1016/j.buildenv.2015.07.009 – year: 2018 ident: 10.1016/j.dsp.2023.104305_br0160 article-title: An improved hybrid active noise control system – volume: 188 year: 2022 ident: 10.1016/j.dsp.2023.104305_br0020 article-title: An efficient algorithm for impulsive active noise control using maximum correntropy with conjugate gradient publication-title: Appl. Acoust. doi: 10.1016/j.apacoust.2021.108511 – volume: 146 start-page: 355 year: 2019 ident: 10.1016/j.dsp.2023.104305_br0120 article-title: A new adaptive control strategy for hybrid narrowband active noise control systems in a multi-noise environment publication-title: Appl. Acoust. doi: 10.1016/j.apacoust.2018.11.034 – volume: 131 start-page: 154 year: 2018 ident: 10.1016/j.dsp.2023.104305_br0150 article-title: Secondary path modeling for narrowband active noise control systems publication-title: Appl. Acoust. doi: 10.1016/j.apacoust.2017.10.026 – volume: 186 year: 2022 ident: 10.1016/j.dsp.2023.104305_br0030 article-title: Hybrid vibro-acoustic active control method for vehicle interior sound quality under high-speed publication-title: Appl. Acoust. doi: 10.1016/j.apacoust.2021.108419 – volume: 146 start-page: 310 year: 2019 ident: 10.1016/j.dsp.2023.104305_br0130 article-title: Improved adaptive recursive even mirror fourier nonlinear filter for nonlinear active noise control publication-title: Appl. Acoust. doi: 10.1016/j.apacoust.2018.11.022 – volume: 120 start-page: 69 year: 2019 ident: 10.1016/j.dsp.2023.104305_br0140 article-title: Filtered-x least mean square/fourth (fxlms/f) algorithm for active noise control publication-title: Mech. Syst. Signal Process. doi: 10.1016/j.ymssp.2018.10.009 – volume: 350 start-page: 1 year: 2015 ident: 10.1016/j.dsp.2023.104305_br0200 article-title: Decoupling feedforward and feedback structures in hybrid active noise control systems for uncorrelated narrowband disturbances publication-title: J. Sound Vib. doi: 10.1016/j.jsv.2015.04.018 – volume: 60 start-page: 75 year: 2017 ident: 10.1016/j.dsp.2023.104305_br0180 article-title: The mmfxlms algorithm for active noise control with on-line secondary path modelling publication-title: Digit. Signal Process. doi: 10.1016/j.dsp.2016.08.012 – start-page: 674 year: 2019 ident: 10.1016/j.dsp.2023.104305_br0080 article-title: A fully adaptive feedback anc system employing online estimation of the cancellation path – start-page: 8469 year: 2019 ident: 10.1016/j.dsp.2023.104305_br0070 article-title: A novel approach for feedforward control of noise in ducts using simplified multichannel inverse filters – volume: 12 start-page: 2244 issue: 4 year: 2022 ident: 10.1016/j.dsp.2023.104305_br0050 article-title: Some practical acoustic design and typical control strategies for multichannel active noise control publication-title: Appl. Sci. doi: 10.3390/app12042244 – volume: 117 start-page: 69 year: 2015 ident: 10.1016/j.dsp.2023.104305_br0220 article-title: A simplified variable step-size lms algorithm for fourier analysis and its statistical properties publication-title: Signal Process. doi: 10.1016/j.sigpro.2015.04.021 – volume: 133 start-page: 215 year: 2018 ident: 10.1016/j.dsp.2023.104305_br0090 article-title: Performance evaluation of hybrid active noise control system with online secondary path modeling publication-title: Appl. Acoust. doi: 10.1016/j.apacoust.2017.12.029 – volume: 11 start-page: 2181 issue: 5 year: 2023 ident: 10.1016/j.dsp.2023.104305_br0010 article-title: Design and research of active noise control structure based on nalms algorithm publication-title: J. Vib. Eng. Technol. doi: 10.1007/s42417-022-00696-5 |
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| SubjectTerms | Adaptive filter Hybrid active noise cancellation Least mean square Mean noise reduction Mean square error Performance analysis |
| Title | An intelligent momentum perturbed variable step-size adaptive algorithm for fast converging HNANC systems |
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