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

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Author

Summary, in English

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.

Publishing year

2013

Language

English

Pages

3875-3879

Publication/Series

A

Document type

Conference paper

Publisher

IEEE - Institute of Electrical and Electronics Engineers Inc.

Topic

  • Computer Vision and Robotics (Autonomous Systems)
  • Mathematics

Keywords

  • Sensor Network Calibration
  • TOA
  • Localization

Conference name

The 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013)

Conference date

2013-05-26 - 2013-05-31

Conference place

Vancouver, Canada

Status

Published

Project

  • ENGROSS

Research group

  • Mathematical Imaging Group
  • Algebra

ISBN/ISSN/Other

  • ISSN: 1520-6149