MINIMAL SOLUTIONS FOR DUAL MICROPHONE RIG SELF-CALIBRATION
Author
Summary, in English
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.
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.
Department/s
Publishing year
2014
Language
English
Publication/Series
European Signal Processing Conference
Links
Document type
Conference paper
Publisher
EURASIP
Topic
- Mathematics
Conference name
22nd European Signal Processing Conference - EUSIPCO 2014
Conference date
2014-09-01 - 2014-09-05
Conference place
Lissabon, Portugal
Status
Published
ISBN/ISSN/Other
- ISSN: 2219-5491