Active noise control using step size auto adjust method

Yosuke Koba, Shinya Kijimoto, Ikuma Ikeda, Koichi Matsuda, Toshihiko Higashi

Research output: Contribution to journalArticle

Abstract

The purpose of this study is to apply Active noise control (ANC) to 3-dimensional space. Direct Adaptive Algorithm (DAA) proposed by Sano et al. is an effective algorithm because preidentification of the secondary path, the path from a control source to an error microphone, property is unnecessary for this algorithm. However DAA has a problem that the control effect is affected by input noise level. Against this problem, we propose DAA with Step Size Auto Adjusting Method (DAA-SAM). This method normalizes signals into adaptive filters by reference signal. The normalized signals are used in updating adaptive filters. The validity of DAA-SAM against different input levels of white noise or unsteady noise is shown through computer simulations and experiments.

Original languageEnglish
Pages (from-to)1281-1286
Number of pages6
JournalNihon Kikai Gakkai Ronbunshu, C Hen/Transactions of the Japan Society of Mechanical Engineers, Part C
Volume74
Issue number5
Publication statusPublished - May 1 2008

Fingerprint

Active noise control
Adaptive algorithms
Adaptive filters
White noise
Microphones
Computer simulation
Experiments

All Science Journal Classification (ASJC) codes

  • Mechanics of Materials
  • Mechanical Engineering
  • Industrial and Manufacturing Engineering

Cite this

Active noise control using step size auto adjust method. / Koba, Yosuke; Kijimoto, Shinya; Ikeda, Ikuma; Matsuda, Koichi; Higashi, Toshihiko.

In: Nihon Kikai Gakkai Ronbunshu, C Hen/Transactions of the Japan Society of Mechanical Engineers, Part C, Vol. 74, No. 5, 01.05.2008, p. 1281-1286.

Research output: Contribution to journalArticle

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