MINIMAL SOLUTIONS FOR DUAL MICROPHONE RIG SELF-CALIBRATION
Simayijiang, Zhayida LU ; Burgess, Simon LU ; Kuang, Yubin LU and Åström, Karl LU
(2014)
22nd European Signal Processing Conference - EUSIPCO 2014
- Abstract
- In this paper, we study minimal problems related to dual microphone
rig self-calibration using TOA measurements from
sound sources with unknown positions. We consider the problems
with varying setups as (i) if the internal distances between
the microphone nodes are known a priori or not. (ii)
if the microphone rigs lies in an affine space with different
dimension than the sound sources. Solving these minimal
problems is essential to robust estimation of microphone and
sound source locations. We identify for each of these minimal
problems the number of solutions in general and develop
non-iterative solvers. We show that the proposed solvers... (More) - In this paper, we study minimal problems related to dual microphone
rig self-calibration using TOA measurements from
sound sources with unknown positions. We consider the problems
with varying setups as (i) if the internal distances between
the microphone nodes are known a priori or not. (ii)
if the microphone rigs lies in an affine space with different
dimension than the sound sources. Solving these minimal
problems is essential to robust estimation of microphone and
sound source locations. We identify for each of these minimal
problems the number of solutions in general and develop
non-iterative solvers. We show that the proposed solvers are
numerically stable in synthetic experiments. We also apply
our method in a real indoor experiment and obtain accurate
reconstruction using TOA measurements. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/4589523
- author
- Simayijiang, Zhayida
LU
; Burgess, Simon
LU
; Kuang, Yubin
LU
and Åström, Karl
LU
- organization
- publishing date
- 2014
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- European Signal Processing Conference
- pages
- 5 pages
- publisher
- EURASIP
- conference name
- 22nd European Signal Processing Conference - EUSIPCO 2014
- conference location
- Lissabon, Portugal
- conference dates
- 2014-09-01 - 2014-09-05
- external identifiers
-
- scopus:84911887567
- ISSN
- 2219-5491
- language
- English
- LU publication?
- yes
- id
- 64baf8ba-97b1-4fc9-b9bf-d4b102fbe9e4 (old id 4589523)
- alternative location
- http://www.eurasip.org/Proceedings/Eusipco/Eusipco2014/HTML/papers/1569925185.pdf
- date added to LUP
- 2016-04-01 14:35:51
- date last changed
- 2022-05-15 19:34:17
@inproceedings{64baf8ba-97b1-4fc9-b9bf-d4b102fbe9e4,
abstract = {{In this paper, we study minimal problems related to dual microphone<br/><br>
rig self-calibration using TOA measurements from<br/><br>
sound sources with unknown positions. We consider the problems<br/><br>
with varying setups as (i) if the internal distances between<br/><br>
the microphone nodes are known a priori or not. (ii)<br/><br>
if the microphone rigs lies in an affine space with different<br/><br>
dimension than the sound sources. Solving these minimal<br/><br>
problems is essential to robust estimation of microphone and<br/><br>
sound source locations. We identify for each of these minimal<br/><br>
problems the number of solutions in general and develop<br/><br>
non-iterative solvers. We show that the proposed solvers are<br/><br>
numerically stable in synthetic experiments. We also apply<br/><br>
our method in a real indoor experiment and obtain accurate<br/><br>
reconstruction using TOA measurements.}},
author = {{Simayijiang, Zhayida and Burgess, Simon and Kuang, Yubin and Åström, Karl}},
booktitle = {{European Signal Processing Conference}},
issn = {{2219-5491}},
language = {{eng}},
publisher = {{EURASIP}},
title = {{MINIMAL SOLUTIONS FOR DUAL MICROPHONE RIG SELF-CALIBRATION}},
url = {{http://www.eurasip.org/Proceedings/Eusipco/Eusipco2014/HTML/papers/1569925185.pdf}},
year = {{2014}},
}