Active Control of Road Impulse Noise Based on Modified Error-constrained FNxLMS

This paper presents a novel approach to address road noise cancellation in vehicles, focusing on robustness against impulsive noise. While active noise control (ANC) technologies have shown promise in reducing road noise, their effectiveness is often hindered by the presence of impact noise from sou...

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Published in:IEEE International Conference on Information Communication and Signal Processing (Online) pp. 1020 - 1026
Main Authors: Zhang, Lijun, Wang, Zifei, Meng, Dejian, Pi, Xiongfei
Format: Conference Proceeding
Language:English
Published: IEEE 21.09.2024
Subjects:
Active noise control
Impulsive noise
Noise
Noise cancellation
Noise level
Noise reduction
Normalization algorithm
Process control
Roads
Robustness
Signal processing algorithms
Stability analysis
Threshold algorithm
Vehicles
ISSN:2770-792X
Online Access:Get full text
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Abstract This paper presents a novel approach to address road noise cancellation in vehicles, focusing on robustness against impulsive noise. While active noise control (ANC) technologies have shown promise in reducing road noise, their effectiveness is often hindered by the presence of impact noise from sources such as speed bumps and damaged road surfaces. To overcome this challenge, we propose an enhanced ANC algorithm combining a reference signal normalization technique with a threshold algorithm. This approach aims to improve the system's robustness by effectively filtering out impact noise while preserving the desired noise reduction in other frequency bands. The methodology involves conducting road tests on surfaces with speed bumps to evaluate the algorithm's performance under real-world conditions. Through comprehensive analysis of noise reduction, we demonstrate the efficacy of the proposed algorithm in cancelling road noise, particularly in the presence of impact events. Our experiments suggest that the algorithm achieves significant improvements in noise reduction without compromising system stability. This work contributes to the advancement of ANC technology in vehicles by addressing a key challenge and providing a practical solution for enhancing passenger comfort and vehicle noise quality. Overall, the proposed approach offers a promising avenue for achieving effective road noise control in automotive applications, paving the way for quieter and more comfortable driving experiences.
AbstractList This paper presents a novel approach to address road noise cancellation in vehicles, focusing on robustness against impulsive noise. While active noise control (ANC) technologies have shown promise in reducing road noise, their effectiveness is often hindered by the presence of impact noise from sources such as speed bumps and damaged road surfaces. To overcome this challenge, we propose an enhanced ANC algorithm combining a reference signal normalization technique with a threshold algorithm. This approach aims to improve the system's robustness by effectively filtering out impact noise while preserving the desired noise reduction in other frequency bands. The methodology involves conducting road tests on surfaces with speed bumps to evaluate the algorithm's performance under real-world conditions. Through comprehensive analysis of noise reduction, we demonstrate the efficacy of the proposed algorithm in cancelling road noise, particularly in the presence of impact events. Our experiments suggest that the algorithm achieves significant improvements in noise reduction without compromising system stability. This work contributes to the advancement of ANC technology in vehicles by addressing a key challenge and providing a practical solution for enhancing passenger comfort and vehicle noise quality. Overall, the proposed approach offers a promising avenue for achieving effective road noise control in automotive applications, paving the way for quieter and more comfortable driving experiences.
Author Zhang, Lijun
Wang, Zifei
Meng, Dejian
Pi, Xiongfei
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  organization: School of Automotive Studies, Tongji University,Shanghai,China
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  givenname: Zifei
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  organization: School of Automotive Studies, Tongji University,Shanghai,China
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  organization: School of Automotive Studies, Tongji University,Shanghai,China
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  givenname: Xiongfei
  surname: Pi
  fullname: Pi, Xiongfei
  email: 834931383@qq.com
  organization: NIO Inc.,Shanghai,China
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Snippet This paper presents a novel approach to address road noise cancellation in vehicles, focusing on robustness against impulsive noise. While active noise control...
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StartPage 1020
SubjectTerms Active noise control
Impulsive noise
Noise
Noise cancellation
Noise level
Noise reduction
Normalization algorithm
Process control
Roads
Robustness
Signal processing algorithms
Stability analysis
Threshold algorithm
Vehicles
Title Active Control of Road Impulse Noise Based on Modified Error-constrained FNxLMS
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