Advanced

Stratified Sensor Network Self-Calibration From TDOA Measurements

Kuang, Yubin LU and Åström, Karl LU (2013) 21st European Signal Processing Conference (EUSIPCO 2013) In [Host publication title missing]
Abstract
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... (More)
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. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Network Self-calibration, TDOA, TOA, Minimal Problem
in
[Host publication title missing]
pages
5 pages
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
conference name
21st European Signal Processing Conference (EUSIPCO 2013)
external identifiers
  • WOS:000341754500180
  • Scopus:84901369452
language
English
LU publication?
yes
id
39383100-0cb6-4d79-88c4-70971301d957 (old id 4249662)
date added to LUP
2014-02-12 14:48:51
date last changed
2016-10-13 04:45:30
@misc{39383100-0cb6-4d79-88c4-70971301d957,
  abstract     = {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.},
  author       = {Kuang, Yubin and Åström, Karl},
  keyword      = {Network Self-calibration,TDOA,TOA,Minimal Problem},
  language     = {eng},
  pages        = {5},
  publisher    = {ARRAY(0x7a9f530)},
  series       = {[Host publication title missing]},
  title        = {Stratified Sensor Network Self-Calibration From TDOA Measurements},
  year         = {2013},
}