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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 In European Signal Processing Conference
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:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
in
European Signal Processing Conference
pages
5 pages
publisher
EURASIP
conference name
22nd European Signal Processing Conference - EUSIPCO 2014
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
2014-09-17 11:43:01
date last changed
2017-03-05 03:57:08
@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},
  pages        = {5},
  publisher    = {EURASIP},
  title        = {MINIMAL SOLUTIONS FOR DUAL MICROPHONE RIG SELF-CALIBRATION},
  year         = {2014},
}