Multi-channel active noise control for uncertain secondary channels

Yuhsuke Ohta, Hiromitsu Ohmori, Akira Sano

Research output: Contribution to journalConference article

Abstract

Fully adaptive feedforward control algorithm is proposed for general multichannel active noise control (ANC) when all the noise transmission channels are uncertain. To reduce the actual canceling error, two kinds of virtual errors are introduced and are forced into zero by adjusting three adaptive FIR filter matrices in an on-line manner, which can result in the canceling at the objective points. Unlike other conventional approaches, the proposed algorithm does not need exact identification of the secondary paths, and so requires neither any dither signals nor the PE property of the source noises, which is a great advantage of the proposed adaptive approach.

Original languageEnglish
Pages (from-to)187-192
Number of pages6
JournalIFAC Proceedings Volumes (IFAC-PapersOnline)
Volume36
Issue number16
DOIs
Publication statusPublished - 2003 Jan 1
Event13th IFAC Symposium on System Identification, SYSID 2003 - Rotterdam, Netherlands
Duration: 2003 Aug 272003 Aug 29

Fingerprint

Active noise control
Feedforward control
FIR filters
Adaptive filters
Acoustic noise

Keywords

  • active noise control
  • adaptive filter
  • adaptive identification
  • daptive control

ASJC Scopus subject areas

  • Control and Systems Engineering

Cite this

Multi-channel active noise control for uncertain secondary channels. / Ohta, Yuhsuke; Ohmori, Hiromitsu; Sano, Akira.

In: IFAC Proceedings Volumes (IFAC-PapersOnline), Vol. 36, No. 16, 01.01.2003, p. 187-192.

Research output: Contribution to journalConference article

@article{f9e091099b384b429da9fe5883284440,
title = "Multi-channel active noise control for uncertain secondary channels",
abstract = "Fully adaptive feedforward control algorithm is proposed for general multichannel active noise control (ANC) when all the noise transmission channels are uncertain. To reduce the actual canceling error, two kinds of virtual errors are introduced and are forced into zero by adjusting three adaptive FIR filter matrices in an on-line manner, which can result in the canceling at the objective points. Unlike other conventional approaches, the proposed algorithm does not need exact identification of the secondary paths, and so requires neither any dither signals nor the PE property of the source noises, which is a great advantage of the proposed adaptive approach.",
keywords = "active noise control, adaptive filter, adaptive identification, daptive control",
author = "Yuhsuke Ohta and Hiromitsu Ohmori and Akira Sano",
year = "2003",
month = "1",
day = "1",
doi = "10.1016/S1474-6670(17)34760-2",
language = "English",
volume = "36",
pages = "187--192",
journal = "IFAC-PapersOnLine",
issn = "2405-8963",
publisher = "IFAC Secretariat",
number = "16",

}

TY - JOUR

T1 - Multi-channel active noise control for uncertain secondary channels

AU - Ohta, Yuhsuke

AU - Ohmori, Hiromitsu

AU - Sano, Akira

PY - 2003/1/1

Y1 - 2003/1/1

N2 - Fully adaptive feedforward control algorithm is proposed for general multichannel active noise control (ANC) when all the noise transmission channels are uncertain. To reduce the actual canceling error, two kinds of virtual errors are introduced and are forced into zero by adjusting three adaptive FIR filter matrices in an on-line manner, which can result in the canceling at the objective points. Unlike other conventional approaches, the proposed algorithm does not need exact identification of the secondary paths, and so requires neither any dither signals nor the PE property of the source noises, which is a great advantage of the proposed adaptive approach.

AB - Fully adaptive feedforward control algorithm is proposed for general multichannel active noise control (ANC) when all the noise transmission channels are uncertain. To reduce the actual canceling error, two kinds of virtual errors are introduced and are forced into zero by adjusting three adaptive FIR filter matrices in an on-line manner, which can result in the canceling at the objective points. Unlike other conventional approaches, the proposed algorithm does not need exact identification of the secondary paths, and so requires neither any dither signals nor the PE property of the source noises, which is a great advantage of the proposed adaptive approach.

KW - active noise control

KW - adaptive filter

KW - adaptive identification

KW - daptive control

UR - http://www.scopus.com/inward/record.url?scp=85064630694&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85064630694&partnerID=8YFLogxK

U2 - 10.1016/S1474-6670(17)34760-2

DO - 10.1016/S1474-6670(17)34760-2

M3 - Conference article

AN - SCOPUS:85064630694

VL - 36

SP - 187

EP - 192

JO - IFAC-PapersOnLine

JF - IFAC-PapersOnLine

SN - 2405-8963

IS - 16

ER -