Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

Hierarchical Time-of-Arrival Self-Calibration using Robust Receiver Distance Averaging

Larsson, Malte LU orcid ; Larsson, Viktor LU ; Olsson, Carl LU and Oskarsson, Magnus LU orcid (2024) 32nd European Signal Processing Conference, EUSIPCO 2024 In European Signal Processing Conference p.982-986
Abstract

This paper suggests an approach to solving the time-of-arrival self-calibration problem for imbalanced problems, where there is a low number of receivers but many senders. The idea is to solve several subproblems created by only using data relating to four receivers. The solutions are then clustered according to a proposed metric in order to remove failed reconstructions. They are then combined into a solution for the total system. This approach is compared to state-of-the-art methods and shown to be robust against both missing data and outliers. It can also handle a large number of sender positions.

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
robust optimization, self-calibration, Time-of-arrival
host publication
32nd European Signal Processing Conference, EUSIPCO 2024 - Proceedings
series title
European Signal Processing Conference
pages
5 pages
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
32nd European Signal Processing Conference, EUSIPCO 2024
conference location
Lyon, France
conference dates
2024-08-26 - 2024-08-30
external identifiers
  • scopus:85208433498
ISSN
2219-5491
ISBN
9789464593617
DOI
10.23919/eusipco63174.2024.10715026
language
English
LU publication?
yes
additional info
Publisher Copyright: © 2024 European Signal Processing Conference, EUSIPCO. All rights reserved.
id
d04c789d-3862-4252-99f1-56b8b2f09213
date added to LUP
2025-01-22 11:37:17
date last changed
2025-04-04 14:12:23
@inproceedings{d04c789d-3862-4252-99f1-56b8b2f09213,
  abstract     = {{<p>This paper suggests an approach to solving the time-of-arrival self-calibration problem for imbalanced problems, where there is a low number of receivers but many senders. The idea is to solve several subproblems created by only using data relating to four receivers. The solutions are then clustered according to a proposed metric in order to remove failed reconstructions. They are then combined into a solution for the total system. This approach is compared to state-of-the-art methods and shown to be robust against both missing data and outliers. It can also handle a large number of sender positions.</p>}},
  author       = {{Larsson, Malte and Larsson, Viktor and Olsson, Carl and Oskarsson, Magnus}},
  booktitle    = {{32nd European Signal Processing Conference, EUSIPCO 2024 - Proceedings}},
  isbn         = {{9789464593617}},
  issn         = {{2219-5491}},
  keywords     = {{robust optimization; self-calibration; Time-of-arrival}},
  language     = {{eng}},
  pages        = {{982--986}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  series       = {{European Signal Processing Conference}},
  title        = {{Hierarchical Time-of-Arrival Self-Calibration using Robust Receiver Distance Averaging}},
  url          = {{http://dx.doi.org/10.23919/eusipco63174.2024.10715026}},
  doi          = {{10.23919/eusipco63174.2024.10715026}},
  year         = {{2024}},
}