Noise power scheduling in active noise control systems with online secondary path modeling

Akhtar, Muhammad Tahir; Abe, Masahide; Kawamata, Masayuki

doi:10.1587/elex.4.66

Cited by 36 publications

(23 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The averaging of the adaptive filter, which removes the effect of additive random noise, leads to an increase in convergence rate. The third type is to control the power of additive noise or/and step size in the online modeling process [29][30][31][32][33][34][35]. In this approach, the power of additive noise is initially set large for the fast convergence of the secondary-path modeling filter and is subsequently reduced to a small value.…”

Section: B) Methods For Improvementmentioning

confidence: 99%

Recent advances on active noise control: open issues and innovative applications

Kajikawa

Gan

Kuo

2012

SIP

286

113

View full text Add to dashboard Cite

The problem of acoustic noise is becoming increasingly serious with the growing use of industrial and medical equipment, appliances, and consumer electronics. Active noise control (ANC), based on the principle of superposition, was developed in the early 20th century to help reduce noise. However, ANC is still not widely used owing to the effectiveness of control algorithms, and to the physical and economical constraints of practical applications. In this paper, we briefly introduce some fundamental ANC algorithms and theoretical analyses, and focus on recent advances on signal processing algorithms, implementation techniques, challenges for innovative applications, and open issues for further research and development of ANC systems.

show abstract

Section: B) Methods For Improvementmentioning

confidence: 99%

Recent advances on active noise control: open issues and innovative applications

Kajikawa

Gan

Kuo

2012

SIP

286

113

View full text Add to dashboard Cite

show abstract

“…Up to the best knowledge of authors, the other researchers have considered online FBPM [11][12][13][14][15][16][17]a n dS P M [18][19][20][21][22][23][24][25]a s separate problems, and there is no work considering simultaneous adaptation ofF(z)a n dŜ(z). Here we present a few typical results for the proposed method for simultaneous online FBPM and SMP, and a detailed treatment is beyond the scope of the present work.…”

Section: Simulation Resultsmentioning

confidence: 99%

Online acoustic feedback mitigation with improved noise‐reduction performance in active noise control systems

Ahmed

Akhtar

Zhang

2013

IET signal process.

View full text Add to dashboard Cite

The main focus of this paper is the acoustic feedback path neutralisation during online operation of the single-channel active noise control (ANC) systems. Invasive techniques, in which additive auxiliary noise is injected for online feedback path modelling (FBPM), degrade the noise-reduction performance of ANC systems. In the existing methods for online FBPM, additive auxiliary noise with fixed variance is injected during all operating conditions of ANC systems. In this paper, a scheduling strategy is proposed to have time-varying gain for additive auxiliary noise. The time-varying gain is computed on the basis of (i) the convergence status of the FBPM filter, and (ii) the power of the interference term in the error signal of the FBPM filter. Simulation results show that, compared to the existing methods, the proposed method can better achieve the conflicting requirements of fast convergence of the FBPM filter, and reduced steady-state power of the residual error at the error microphone. For sake of completeness, appendix presents typical simulation results when both the secondary path and feedback path are simultaneously identified during online operation of ANC systems.

show abstract

“…The improvements of the Eriksson’s method have been put forward in Zhang et al., 8,9 Akhtar et al., 10,11 Pu et al., 12 and Carini and Malatini 13 and summed up by Kajikawa et al. 14 Among them, the methods given by Zhang et al.…”

Section: Introductionmentioning

confidence: 99%

Online secondary path modeling method with auxiliary noise power scheduling strategy for multi-channel adaptive active noise control system

Yang

Shu

2019

Journal of Low Frequency Noise, Vibration and Active Control

View full text Add to dashboard Cite

Accurate model of secondary paths is very crucial for the multi-channel filtered-X least mean square algorithm applied in adaptive active noise control system. The auxiliary random noise technique is popular for online secondary path modeling during adaptive active noise control operation. This paper proposes a simplified variable step-size strategy and an effective auxiliary noise power scheduling strategy for the multi-channel filtered-X least mean square algorithm. Through a defined indirect error signal, the proposed method can guarantee every online secondary path modeling filter has its own exclusive variable step-size strategy to update their coefficients, and every injected noise has its own exclusive scheduling strategy considering all of the corresponding online secondary path modeling filters. The proposed method can improve the adaptive performance and simplifies the complexity of multi-channel adaptive active noise control system. Computer simulations show that the proposed method gives much better noise reduction and secondary path modeling accuracy at a somewhat faster convergence rate comparing with the competing methods.

show abstract

Noise power scheduling in active noise control systems with online secondary path modeling

Cited by 36 publications

References 6 publications

Recent advances on active noise control: open issues and innovative applications

Recent advances on active noise control: open issues and innovative applications

Online acoustic feedback mitigation with improved noise‐reduction performance in active noise control systems

Online secondary path modeling method with auxiliary noise power scheduling strategy for multi-channel adaptive active noise control system

Contact Info

Product

Resources

About