An Approach to Solve Local Minimum Problem in Sound Source and Microphone Localization

Kazunori KOBAYASHI; Ken'ichi FURUYA; Yoichi HANEDA; Akitoshi KATAOKA

doi:10.1093/ietfec/e90-a.12.2826

An Approach to Solve Local Minimum Problem in Sound Source and Microphone Localization

Kazunori KOBAYASHI, Ken'ichi FURUYA, Yoichi HANEDA, Akitoshi KATAOKA

Full Text Views

0

Share
Cite this

Summary :

We previously proposed a method of sound source and microphone localization. The method estimates the locations of sound sources and microphones from only time differences of arrival between signals picked up by microphones even if all their locations are unknown. However, there is a problem that some estimation results converge to local minimum solutions because this method estimates locations iteratively and the error function has multiple minima. In this paper, we present a new iterative method to solve the local minimum problem. This method achieves accurate estimation by selecting effective initial locations from many random initial locations. The computer simulation and experimental results demonstrate that the presented method eliminates most local minimum solutions. Furthermore, the computational complexity of the presented method is similar to that of the previous method.

Publication: IEICE TRANSACTIONS on Fundamentals Vol.E90-A No.12 pp.2826-2834

Publication Date: 2007/12/01

Publicized

Online ISSN: 1745-1337

DOI: 10.1093/ietfec/e90-a.12.2826

Type of Manuscript: PAPER

Category: Engineering Acoustics

Cite this

Copy

Kazunori KOBAYASHI, Ken'ichi FURUYA, Yoichi HANEDA, Akitoshi KATAOKA, "An Approach to Solve Local Minimum Problem in Sound Source and Microphone Localization" in IEICE TRANSACTIONS on Fundamentals, vol. E90-A, no. 12, pp. 2826-2834, December 2007, doi: 10.1093/ietfec/e90-a.12.2826.
Abstract: We previously proposed a method of sound source and microphone localization. The method estimates the locations of sound sources and microphones from only time differences of arrival between signals picked up by microphones even if all their locations are unknown. However, there is a problem that some estimation results converge to local minimum solutions because this method estimates locations iteratively and the error function has multiple minima. In this paper, we present a new iterative method to solve the local minimum problem. This method achieves accurate estimation by selecting effective initial locations from many random initial locations. The computer simulation and experimental results demonstrate that the presented method eliminates most local minimum solutions. Furthermore, the computational complexity of the presented method is similar to that of the previous method.
URL: https://globals.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e90-a.12.2826/_p

Copy

@ARTICLE{e90-a_12_2826,
author={Kazunori KOBAYASHI, Ken'ichi FURUYA, Yoichi HANEDA, Akitoshi KATAOKA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={An Approach to Solve Local Minimum Problem in Sound Source and Microphone Localization},
year={2007},
volume={E90-A},
number={12},
pages={2826-2834},
abstract={We previously proposed a method of sound source and microphone localization. The method estimates the locations of sound sources and microphones from only time differences of arrival between signals picked up by microphones even if all their locations are unknown. However, there is a problem that some estimation results converge to local minimum solutions because this method estimates locations iteratively and the error function has multiple minima. In this paper, we present a new iterative method to solve the local minimum problem. This method achieves accurate estimation by selecting effective initial locations from many random initial locations. The computer simulation and experimental results demonstrate that the presented method eliminates most local minimum solutions. Furthermore, the computational complexity of the presented method is similar to that of the previous method.},
keywords={},
doi={10.1093/ietfec/e90-a.12.2826},
ISSN={1745-1337},
month={December},}

Copy

TY - JOUR
TI - An Approach to Solve Local Minimum Problem in Sound Source and Microphone Localization
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2826
EP - 2834
AU - Kazunori KOBAYASHI
AU - Ken'ichi FURUYA
AU - Yoichi HANEDA
AU - Akitoshi KATAOKA
PY - 2007
DO - 10.1093/ietfec/e90-a.12.2826
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E90-A
IS - 12
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - December 2007
AB - We previously proposed a method of sound source and microphone localization. The method estimates the locations of sound sources and microphones from only time differences of arrival between signals picked up by microphones even if all their locations are unknown. However, there is a problem that some estimation results converge to local minimum solutions because this method estimates locations iteratively and the error function has multiple minima. In this paper, we present a new iterative method to solve the local minimum problem. This method achieves accurate estimation by selecting effective initial locations from many random initial locations. The computer simulation and experimental results demonstrate that the presented method eliminates most local minimum solutions. Furthermore, the computational complexity of the presented method is similar to that of the previous method.
ER -