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

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceeding


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.


Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Computer Vision and Robotics (Autonomous Systems)
  • Mathematics


  • Sensor Network Calibration, TOA, Localization
Original languageEnglish
Title of host publicationA
PublisherIEEE - Institute of Electrical and Electronics Engineers Inc.
Publication statusPublished - 2013
Publication categoryResearch
EventThe 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013) - Vancouver, Canada
Duration: 2013 May 262013 May 31

Publication series

ISSN (Print)1520-6149


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

Bibliographic note

The paper is to appear in the IEEE conference proceedings "Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on"