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Stratified Sensor Network Self-Calibration From TDOA Measurements

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Author

Summary, in English

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.

Publishing year

2013

Language

English

Publication/Series

[Host publication title missing]

Document type

Conference paper

Publisher

IEEE - Institute of Electrical and Electronics Engineers Inc.

Topic

  • Mathematics

Keywords

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

Conference name

21st European Signal Processing Conference (EUSIPCO 2013)

Conference date

2013-09-09 - 2013-09-13

Conference place

Marrakech, Morocco

Status

Published

Research group

  • Algebra
  • Mathematical Imaging Group