A narrowband active noise control system with a frequency estimator

Lei Wang, Kean Chen, Jian Xu

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

A narrowband active noise control (NANC) system is very effective for controlling low-frequency periodic noise. A frequency mismatch (FM) with the reference signal will degrade the performance or even cause the system to diverge. To deal with an FM and obtain an accurate reference signal, NANC systems often employ a frequency estimator. Combining an autoregressive predictive filter with a variable step size (VSS) all-pass-based lattice adaptive notch filter (ANF), a new frequency estimation method is proposed that does not require prior information of the primary signal, and the convergence characteristics are much improved. Simulation results show that the designed frequency estimator has a higher accuracy than the conventional algorithm. Finally, hardware experiments are carried out to verify the noise reduction effect.

Original languageEnglish
Pages (from-to)1284-1292
Number of pages9
JournalIEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
VolumeE104A
Issue number9
DOIs
StatePublished - 2021

Keywords

  • Adaptive notch filter
  • Frequency estimation
  • Narrowband active noise control

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