A Complete Characterization and Solution to the Microphone Position Self-Calibration Problem
(2013) The 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013) p.3875-3879- Abstract
- This paper presents a complete characterization and solution to microphone position self-calibration problem for time-of-arrival (TOA) measurements. This is the problem of determining the positions of receivers and transmitters given all receiver-transmitter distances. Such calibration problems arise in application such as calibration of radio antenna networks, audio or ultra-sound arrays and WiFi transmitter arrays. We show for what cases such calibration problems are well-defined and derive efficient and numerically stable algorithms for the minimal TOA calibration problems. The proposed algorithms are non-iterative and require no assumptions on the sensor positions. Experiments on synthetic data show that the proposed minimal solvers... (More)
- This paper presents a complete characterization and solution to microphone position self-calibration problem for time-of-arrival (TOA) measurements. This is the problem of determining the positions of receivers and transmitters given all receiver-transmitter distances. Such calibration problems arise in application such as calibration of radio antenna networks, audio or ultra-sound arrays and WiFi transmitter arrays. We show for what cases such calibration problems are well-defined and derive efficient and numerically stable algorithms for the minimal TOA calibration problems. The proposed algorithms are non-iterative and require no assumptions on the sensor positions. Experiments on synthetic data show that the proposed minimal solvers are numerically stable and perform well on noisy data. The solvers are also tested on two real datasets with good results. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/3910305
- author
- Kuang, Yubin LU ; Burgess, Simon LU ; Torstensson, Anna LU and Åström, Karl LU
- organization
- publishing date
- 2013
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- Sensor Network Calibration, TOA, Localization
- host publication
- A
- pages
- 3875 - 3879
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- The 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013)
- conference location
- Vancouver, Canada
- conference dates
- 2013-05-26 - 2013-05-31
- external identifiers
-
- wos:000329611504006
- scopus:84890532711
- ISSN
- 1520-6149
- project
- ENGROSS
- language
- English
- LU publication?
- yes
- additional info
- The paper is to appear in the IEEE conference proceedings "Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on"
- id
- e90f122e-669e-44c8-8da8-41fae8645aae (old id 3910305)
- date added to LUP
- 2016-04-01 14:00:57
- date last changed
- 2022-05-07 20:35:58
@inproceedings{e90f122e-669e-44c8-8da8-41fae8645aae, abstract = {{This paper presents a complete characterization and solution to microphone position self-calibration problem for time-of-arrival (TOA) measurements. This is the problem of determining the positions of receivers and transmitters given all receiver-transmitter distances. Such calibration problems arise in application such as calibration of radio antenna networks, audio or ultra-sound arrays and WiFi transmitter arrays. We show for what cases such calibration problems are well-defined and derive efficient and numerically stable algorithms for the minimal TOA calibration problems. The proposed algorithms are non-iterative and require no assumptions on the sensor positions. Experiments on synthetic data show that the proposed minimal solvers are numerically stable and perform well on noisy data. The solvers are also tested on two real datasets with good results.}}, author = {{Kuang, Yubin and Burgess, Simon and Torstensson, Anna and Åström, Karl}}, booktitle = {{A}}, issn = {{1520-6149}}, keywords = {{Sensor Network Calibration; TOA; Localization}}, language = {{eng}}, pages = {{3875--3879}}, publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, title = {{A Complete Characterization and Solution to the Microphone Position Self-Calibration Problem}}, year = {{2013}}, }