Application of a least squares lattice algorithm to active noise control for an automobile

Hisashi Sano, Shuichi Adachi, Hideki Kasuya

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

The purpose of this paper is to propose an alternative approach to active noise control (ANC) using the least squares lattice (LSL) algorithm. Typically, in ANC applications, the least-mean-square (LMS) algorithm has been used because of its simplicity. However, the LMS algorithm has the disadvantage of slow convergence speed in the case of broadband noise, such as the road noise present in the passenger compartment of automobiles traveling on rough road surfaces. In order to solve this problem, the LSL algorithm for ANC is considered. By computer simulation using actual car data, the LSL algorithm proves to be more effective than the LMS one.

Original languageEnglish
Pages (from-to)318-320
Number of pages3
JournalJournal of Dynamic Systems, Measurement and Control, Transactions of the ASME
Volume119
Issue number2
Publication statusPublished - 1997 Jun
Externally publishedYes

Fingerprint

Active noise control
automobiles
Automobiles
roads
passengers
compartments
Railroad cars
computerized simulation
broadband
Computer simulation

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Instrumentation

Cite this

Application of a least squares lattice algorithm to active noise control for an automobile. / Sano, Hisashi; Adachi, Shuichi; Kasuya, Hideki.

In: Journal of Dynamic Systems, Measurement and Control, Transactions of the ASME, Vol. 119, No. 2, 06.1997, p. 318-320.

Research output: Contribution to journalArticle

@article{a681c1bd34534d5b82752c4823380ef4,
title = "Application of a least squares lattice algorithm to active noise control for an automobile",
abstract = "The purpose of this paper is to propose an alternative approach to active noise control (ANC) using the least squares lattice (LSL) algorithm. Typically, in ANC applications, the least-mean-square (LMS) algorithm has been used because of its simplicity. However, the LMS algorithm has the disadvantage of slow convergence speed in the case of broadband noise, such as the road noise present in the passenger compartment of automobiles traveling on rough road surfaces. In order to solve this problem, the LSL algorithm for ANC is considered. By computer simulation using actual car data, the LSL algorithm proves to be more effective than the LMS one.",
author = "Hisashi Sano and Shuichi Adachi and Hideki Kasuya",
year = "1997",
month = "6",
language = "English",
volume = "119",
pages = "318--320",
journal = "Journal of Dynamic Systems, Measurement and Control, Transactions of the ASME",
issn = "0022-0434",
publisher = "American Society of Mechanical Engineers(ASME)",
number = "2",

}

TY - JOUR

T1 - Application of a least squares lattice algorithm to active noise control for an automobile

AU - Sano, Hisashi

AU - Adachi, Shuichi

AU - Kasuya, Hideki

PY - 1997/6

Y1 - 1997/6

N2 - The purpose of this paper is to propose an alternative approach to active noise control (ANC) using the least squares lattice (LSL) algorithm. Typically, in ANC applications, the least-mean-square (LMS) algorithm has been used because of its simplicity. However, the LMS algorithm has the disadvantage of slow convergence speed in the case of broadband noise, such as the road noise present in the passenger compartment of automobiles traveling on rough road surfaces. In order to solve this problem, the LSL algorithm for ANC is considered. By computer simulation using actual car data, the LSL algorithm proves to be more effective than the LMS one.

AB - The purpose of this paper is to propose an alternative approach to active noise control (ANC) using the least squares lattice (LSL) algorithm. Typically, in ANC applications, the least-mean-square (LMS) algorithm has been used because of its simplicity. However, the LMS algorithm has the disadvantage of slow convergence speed in the case of broadband noise, such as the road noise present in the passenger compartment of automobiles traveling on rough road surfaces. In order to solve this problem, the LSL algorithm for ANC is considered. By computer simulation using actual car data, the LSL algorithm proves to be more effective than the LMS one.

UR - http://www.scopus.com/inward/record.url?scp=0000996191&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0000996191&partnerID=8YFLogxK

M3 - Article

VL - 119

SP - 318

EP - 320

JO - Journal of Dynamic Systems, Measurement and Control, Transactions of the ASME

JF - Journal of Dynamic Systems, Measurement and Control, Transactions of the ASME

SN - 0022-0434

IS - 2

ER -