Active noise control for automobiles based on least squares algorithm

Hisashi Sano, Shuichi Adachi, Hideki Kasuya

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

The purpose of this paper is to propose an algorithm for active noise control (ANC) using the recursive least squares (RLS) algorithm. As a main algorithm for ANC, the multiple error filtered-x LMS (Mefx-LMS) algorithm has been used for its simplicity. However, the Mefx-LMS algorithm has a problem of the convergence speed in the case of the broadband noise as the road noise which is one of the passenger compartment noises in a car running on rough roads. This problem is caused by the ill-conditioning of the input autocorrelation matrix. In the ANC for the road noise, many accelerometers used as the input signals are necessary for a high multiple coherence. Using many input signals also causes a cross-correlation among the input signals. The ill-conditioning is mainly brought about by the cross-correlation. In order to solve this problem, the Mefx-RLS algorithm is considered. By computer simulations, the RLS algorithm has proved to be more effective than the LMS algorithm in the convergence speed for cross-correlated input signals.

Original languageEnglish
Pages (from-to)78-84
Number of pages7
JournalNippon Kikai Gakkai Ronbunshu, C Hen/Transactions of the Japan Society of Mechanical Engineers, Part C
Volume61
Issue number581
Publication statusPublished - 1995 Jan
Externally publishedYes

Fingerprint

Active noise control
Automobiles
Accelerometers
Autocorrelation
Acoustic noise
Railroad cars
Computer simulation

ASJC Scopus subject areas

  • Mechanical Engineering

Cite this

Active noise control for automobiles based on least squares algorithm. / Sano, Hisashi; Adachi, Shuichi; Kasuya, Hideki.

In: Nippon Kikai Gakkai Ronbunshu, C Hen/Transactions of the Japan Society of Mechanical Engineers, Part C, Vol. 61, No. 581, 01.1995, p. 78-84.

Research output: Contribution to journalArticle

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