An Analytical Model for Understanding Active Directivity Noise Control with Near-Field Error Sensing

Autor: Hongji Duan, Shuping Wang, Jiancheng Tao
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Applied Sciences, Vol 13, Iss 14, p 8486 (2023)
Druh dokumentu: article
ISSN: 13148486
2076-3417
DOI: 10.3390/app13148486
Popis: Recent research shows that a directional quiet zone from near to far field can be created with a near-field microphone array. However, there is no systematic theoretical analysis of this error-sensing strategy. In this paper, an analytical model of the angular spectrum of point sources in the free field is proposed, based on which the near-field error-sensing strategy for active directivity noise control can be quantitively analyzed. It is found that the noise reduction in the far field is determined by the angular spectrum estimation error of both the primary and secondary sources. The impacts of the error microphone array configuration, sound source position, and target direction on the estimation error of angular spectrum are investigated. Finally, experiments were conducted in the anechoic chamber to validate the impact of the location of the secondary source.
Databáze: Directory of Open Access Journals