A Complete Characterization and Solution to the Microphone Position Self-Calibration Problem

Kuang, Y., Burgess, S., Torstensson, A., & Åström, K. (2013). A Complete Characterization and Solution to the Microphone Position Self-Calibration Problem (pp. 3875 – 3879). Vancouver, Canada: IEEE--Institute of Electrical and Electronics Engineers Inc.
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Conference Proceeding/Paper | Published | English
Authors:
Kuang, Yubin ; Burgess, Simon ; Torstensson, Anna ; Åström, Karl
Department:
Mathematics (Faculty of Engineering)
Mathematical Imaging Group
Algebra
ELLIIT: the Linköping-Lund initiative on IT and mobile communication
eSSENCE: The e-Science Collaboration
Project:
ENGROSS
Research Group:
Mathematical Imaging Group
Algebra
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.
Keywords:
Sensor Network Calibration ; TOA ; Localization ; Computer Vision and Robotics (Autonomous Systems) ; Mathematics
ISSN:
1520-6149
LUP-ID:
e90f122e-669e-44c8-8da8-41fae8645aae | Link: https://lup.lub.lu.se/record/e90f122e-669e-44c8-8da8-41fae8645aae | Statistics

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