Sensor Networks Tdoa Self-Calibration : 2d Complexity Analysis and Solutions
(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.
(Less)
- author
- Ferranti, Luca LU ; Åström, Kalle LU ; Oskarsson, Magnus LU ; Boutellier, Jani and Kannala, Juho
- organization
- publishing date
- 2021
- 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
- 978-1-7281-7605-5
- 978-1-7281-7606-2
- 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
- 2024-09-22 02:24:47
@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 = {{978-1-7281-7605-5}}, 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}}, }