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Sensor Networks Tdoa Self-Calibration : 2d Complexity Analysis and Solutions

Ferranti, Luca LU ; Åström, Kalle LU orcid ; Oskarsson, Magnus LU orcid ; Boutellier, Jani and Kannala, Juho (2021) IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2021 In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings 2021-June. p.4635-4639
Abstract

Given a network of receivers and transmitters, the process of determining their positions from measured pseudoranges is known as network self-calibration. In this paper we consider 2D networks with synchronized receivers but unsynchronized transmitters and the corresponding calibration techniques, known as Time-Difference-Of-Arrival (TDOA) techniques. Despite previous work, TDOA self-calibration is computationally challenging. Iterative algorithms are very sensitive to the initialization, causing convergence issues. In this paper, we present a novel approach, which gives an algebraic solution to two previously unsolved scenarios. We also demonstrate that our solvers produce an excellent initial value for non-linear optimisation... (More)

Given a network of receivers and transmitters, the process of determining their positions from measured pseudoranges is known as network self-calibration. In this paper we consider 2D networks with synchronized receivers but unsynchronized transmitters and the corresponding calibration techniques, known as Time-Difference-Of-Arrival (TDOA) techniques. Despite previous work, TDOA self-calibration is computationally challenging. Iterative algorithms are very sensitive to the initialization, causing convergence issues. In this paper, we present a novel approach, which gives an algebraic solution to two previously unsolved scenarios. We also demonstrate that our solvers produce an excellent initial value for non-linear optimisation algorithms, leading to a full pipeline robust to noise.

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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
Minimal problems, Sensor networks calibration, Time difference of arrival
host publication
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
series title
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
volume
2021-June
pages
5 pages
conference name
IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2021
conference location
Toronto, Canada
conference dates
2021-06-06 - 2021-06-11
external identifiers
  • scopus:85115122231
ISSN
1520-6149
ISBN
978-1-7281-7606-2
978-1-7281-7605-5
DOI
10.1109/ICASSP39728.2021.9414634
language
English
LU publication?
yes
id
18f0dce9-86ad-4022-8cd4-82a3e69e57a3
date added to LUP
2021-10-05 10:25:25
date last changed
2024-06-15 17:25:47
@inproceedings{18f0dce9-86ad-4022-8cd4-82a3e69e57a3,
  abstract     = {{<p>Given a network of receivers and transmitters, the process of determining their positions from measured pseudoranges is known as network self-calibration. In this paper we consider 2D networks with synchronized receivers but unsynchronized transmitters and the corresponding calibration techniques, known as Time-Difference-Of-Arrival (TDOA) techniques. Despite previous work, TDOA self-calibration is computationally challenging. Iterative algorithms are very sensitive to the initialization, causing convergence issues. In this paper, we present a novel approach, which gives an algebraic solution to two previously unsolved scenarios. We also demonstrate that our solvers produce an excellent initial value for non-linear optimisation algorithms, leading to a full pipeline robust to noise.</p>}},
  author       = {{Ferranti, Luca and Åström, Kalle and Oskarsson, Magnus and Boutellier, Jani and Kannala, Juho}},
  booktitle    = {{ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings}},
  isbn         = {{978-1-7281-7606-2}},
  issn         = {{1520-6149}},
  keywords     = {{Minimal problems; Sensor networks calibration; Time difference of arrival}},
  language     = {{eng}},
  pages        = {{4635--4639}},
  series       = {{ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings}},
  title        = {{Sensor Networks Tdoa Self-Calibration : 2d Complexity Analysis and Solutions}},
  url          = {{http://dx.doi.org/10.1109/ICASSP39728.2021.9414634}},
  doi          = {{10.1109/ICASSP39728.2021.9414634}},
  volume       = {{2021-June}},
  year         = {{2021}},
}