GA optimal arrangement of error sensors in free-acoustic field AANC

Haiying Li; Kean Chen; Jincai Sun

GA optimal arrangement of error sensors in free-acoustic field AANC

Haiying Li
, Kean Chen
, Jincai Sun

School of Marine Science and Technology

Northwestern Polytechnical University Xian

Research output: Contribution to journal › Article › peer-review

Abstract

The arrangement of error sensors in the free field has a direct bearing on effect of sound attenuation of the adaptive active noise control (AANC) system. The genetic algorithm (GA) was used to study the arrangement of error sensors and the optimal arrangement could be obtained, which is difficult for the traditional gradient search algorithm. The simulation results have shown that the optimal location of the error sensors searched by GA algorithm is in agreement with those of theoretical analysis.

Original language	English
Pages (from-to)	29-33
Number of pages	5
Journal	Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University
Volume	17
Issue number	1
State	Published - 1999

Cite this

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title = "GA optimal arrangement of error sensors in free-acoustic field AANC",

abstract = "The arrangement of error sensors in the free field has a direct bearing on effect of sound attenuation of the adaptive active noise control (AANC) system. The genetic algorithm (GA) was used to study the arrangement of error sensors and the optimal arrangement could be obtained, which is difficult for the traditional gradient search algorithm. The simulation results have shown that the optimal location of the error sensors searched by GA algorithm is in agreement with those of theoretical analysis.",

author = "Haiying Li and Kean Chen and Jincai Sun",

year = "1999",

language = "英语",

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T1 - GA optimal arrangement of error sensors in free-acoustic field AANC

AU - Li, Haiying

AU - Chen, Kean

AU - Sun, Jincai

PY - 1999

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N2 - The arrangement of error sensors in the free field has a direct bearing on effect of sound attenuation of the adaptive active noise control (AANC) system. The genetic algorithm (GA) was used to study the arrangement of error sensors and the optimal arrangement could be obtained, which is difficult for the traditional gradient search algorithm. The simulation results have shown that the optimal location of the error sensors searched by GA algorithm is in agreement with those of theoretical analysis.

AB - The arrangement of error sensors in the free field has a direct bearing on effect of sound attenuation of the adaptive active noise control (AANC) system. The genetic algorithm (GA) was used to study the arrangement of error sensors and the optimal arrangement could be obtained, which is difficult for the traditional gradient search algorithm. The simulation results have shown that the optimal location of the error sensors searched by GA algorithm is in agreement with those of theoretical analysis.

UR - https://www.scopus.com/pages/publications/0032682106

M3 - 文章

AN - SCOPUS:0032682106

SN - 1000-2758

VL - 17

SP - 29

EP - 33

JO - Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University

JF - Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University

IS - 1

ER -

GA optimal arrangement of error sensors in free-acoustic field AANC

Abstract

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