Stratified Sensor Network Self-Calibration From TDOA Measurements

Yubin Kuang, Karl Åström

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceedingpeer-review

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This paper presents a study of the sensor network calibration time-difference-of-arrival (TDOA) measurements. Such calibration arise in several applications such as calibration of (acoustic or ultrasound) microphone arrays, bluetooth arrays, and radio antenna networks. We propose a non-iterative algorithm that apply a three-step stratification process, (i) using a set of rank constraints to determine the unknown offsets, (ii) applying factorization techniques to determine transmitters and receivers up to unknown affine transformation and (iii) determining the affine stratification using the remaining constraints. This results in novel algorithms for direct recovery of both transmitter and receiver positions using time-difference-of-arrival measurements, down to 6 receivers and 8 transmitters. Experiments are shown both for simulated and real data with promising results.
Original languageEnglish
Title of host publication[Host publication title missing]
PublisherIEEE - Institute of Electrical and Electronics Engineers Inc.
Number of pages5
Publication statusPublished - 2013
Event21st European Signal Processing Conference (EUSIPCO 2013) - Marrakech, Marocko, Marrakech, Morocco
Duration: 2013 Sept 92013 Sept 13


Conference21st European Signal Processing Conference (EUSIPCO 2013)

Subject classification (UKÄ)

  • Mathematics

Free keywords

  • Network Self-calibration
  • TDOA
  • TOA
  • Minimal Problem


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