@article {Chen:2018:0736-2935:297,
title = "Spherical Sound Sources Localization using SONAH",
journal = "INTER-NOISE and NOISE-CON Congress and Conference Proceedings",
parent_itemid = "infobike://ince/incecp",
publishercode ="ince",
year = "2018",
volume = "258",
number = "7",
publication date ="2018-12-18T00:00:00",
pages = "297-306",
itemtype = "ARTICLE",
issn = "0736-2935",
url = "https://ince.publisher.ingentaconnect.com/content/ince/incecp/2018/00000258/00000007/art00030",
author = "Chen, Hung Jr and Koutn{\’y}, Adam and Jir{\’ı}cek, Ondrej",
abstract = "Near Field Acoustical Holography (NAH) is a practical tool for noise source identification and sound field visualization. Statistically Optimized Near Field Acoustical Holography (SONAH) is developed in recent years due to its patch reconstruction ability, enabling smaller measurement
aperture and shorter measurement time. In this paper, SONAH is adopted to localized the spherical sound sources positions. Firstly, three spherical sound sources are placed at the baffled source plane. Then, the sound pressure at the holographic plane is synthesized using the spherical sound
sources propagation formula. After that, the synthesized pressure data is used as input to SONAH to localize the three spherical sound sources positions. TSVD regularization is utilized in the SONAH reconstruction process to stabilize the solution. The SONAH reconstruction results are compared
with the synthesized pressure very close to the source plane using the same spherical sound sources propagation formula. The comparison demonstrates accurate localization capability of SONAH algorithm. The difference between the reconstruction pressure amplitude by SONAH and the synthesized
pressure by the spherical sound sources propagation formula is also discussed in the paper.",
}