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A Unifying Approach to Minimal Problems in Collinear and Planar TDOA Sensor Network Self-Calibration

Ask, Erik LU ; Kuang, Yubin LU and Åström, Karl LU orcid (2014) 22nd European Signal Processing Conference - EUSIPCO 2014
Abstract
This work presents a study of sensor network calibration from time-difference-of-arrival (TDOA) measurements for cases when the dimensions spanned by the receivers and the transmitters differ. This could for example be if receivers are restricted to a line or plane or if the transmitting objects are moving linearly in space. Such calibration arises in several applications such as calibration of (acoustic or ultrasound) microphone arrays, and radio antenna networks. We propose a non-iterative algorithm based on recent stratified approaches: (i) rank constraints on modified measurement matrix, (ii) factorization techniques that determine transmitters and receivers up to unknown affine transformation and (iii) determining the affine... (More)
This work presents a study of sensor network calibration from time-difference-of-arrival (TDOA) measurements for cases when the dimensions spanned by the receivers and the transmitters differ. This could for example be if receivers are restricted to a line or plane or if the transmitting objects are moving linearly in space. Such calibration arises in several applications such as calibration of (acoustic or ultrasound) microphone arrays, and radio antenna networks. We propose a non-iterative algorithm based on recent stratified approaches: (i) rank constraints on modified measurement matrix, (ii) factorization techniques that determine transmitters and receivers up to unknown affine transformation and (iii) determining the affine stratification using remaining non-linear constraints. This results in a unified approach to solve almost all minimal problems. Such algorithms are important components for systems for self-localization. Experiments are shown both for simulated and real data with promising results. (Less)
Please use this url to cite or link to this publication:
author
; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Time-difference-of-arrival, anchor-free calibration, sensor networks
host publication
European Signal Processing Conference
pages
5 pages
publisher
EURASIP
conference name
22nd European Signal Processing Conference - EUSIPCO 2014
conference location
Lissabon, Portugal
conference dates
2014-09-01 - 2014-09-05
external identifiers
  • scopus:84911935508
ISSN
2219-5491
language
English
LU publication?
yes
id
e9443b8d-6ce9-44cf-85ce-1314b5b0e0a6 (old id 4644728)
alternative location
http://www.eurasip.org/Proceedings/Eusipco/Eusipco2014/HTML/papers/1569925215.pdf
date added to LUP
2016-04-01 13:55:29
date last changed
2021-10-06 04:56:11
@inproceedings{e9443b8d-6ce9-44cf-85ce-1314b5b0e0a6,
  abstract     = {This work presents a study of sensor network calibration from time-difference-of-arrival (TDOA) measurements for cases when the dimensions spanned by the receivers and the transmitters differ. This could for example be if receivers are restricted to a line or plane or if the transmitting objects are moving linearly in space. Such calibration arises in several applications such as calibration of (acoustic or ultrasound) microphone arrays, and radio antenna networks. We propose a non-iterative algorithm based on recent stratified approaches: (i) rank constraints on modified measurement matrix, (ii) factorization techniques that determine transmitters and receivers up to unknown affine transformation and (iii) determining the affine stratification using remaining non-linear constraints. This results in a unified approach to solve almost all minimal problems. Such algorithms are important components for systems for self-localization. Experiments are shown both for simulated and real data with promising results.},
  author       = {Ask, Erik and Kuang, Yubin and Åström, Karl},
  booktitle    = {European Signal Processing Conference},
  issn         = {2219-5491},
  language     = {eng},
  publisher    = {EURASIP},
  title        = {A Unifying Approach to Minimal Problems in Collinear and Planar TDOA Sensor Network Self-Calibration},
  url          = {https://lup.lub.lu.se/search/files/3670978/4644729.pdf},
  year         = {2014},
}