An investigation on the plant modeling filter's parameters for active noise control system

Jinjun Wang, Kean Chen, Guoyue Chen, Kenji Muto

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Usually an FIR filter is used to model the physical paths in an active noise control system. However, the order of the filter to be modeled is a key factor for determining the computational load for the adaptive algorithms associated with active noise control (ANC), particularly for multi-channel algorithms. In this letter, the relationships among the filter's order, the plant modeling error and the location of poles for the transfer functions of the physical paths in an ANC system are theoretically examined and numerical examples are given to verify the theoretical results.

Original languageEnglish
Pages (from-to)1847-1851
Number of pages5
JournalIEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
VolumeE89-A
Issue number6
DOIs
Publication statusPublished - 2006 Jun
Externally publishedYes

Fingerprint

Active noise control
Control systems
FIR filters
Adaptive algorithms
Transfer functions
Poles

Keywords

  • Active noise control
  • FIR filter
  • IIR filter
  • Path modeling

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Hardware and Architecture
  • Information Systems

Cite this

An investigation on the plant modeling filter's parameters for active noise control system. / Wang, Jinjun; Chen, Kean; Chen, Guoyue; Muto, Kenji.

In: IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol. E89-A, No. 6, 06.2006, p. 1847-1851.

Research output: Contribution to journalArticle

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