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Robust Self-calibration of Constant Offset Time-difference-of-arrival

Batstone, K. LU ; Flood, G. LU orcid ; Beleyur, T. ; Larsson, V. LU ; Goerlitz, H. R. ; Oskarsson, M. LU orcid and Astrom, K. LU orcid (2019) 44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 2019-May. p.4410-4414
Abstract

In this paper we study the problem of estimating receiver and sender positions from time-difference-of-arrival measurements, assuming an unknown constant time-difference-of-arrival offset. This problem is relevant for example for repetitive sound events. In this paper it is shown that there are three minimal cases to the problem. One of these (the five receiver, five sender problem) is of particular importance. A fast solver (with run-time under 4 μs) is given. We show how this solver can be used in robust estimation algorithms, based on RANSAC, for obtaining an initial estimate followed by local optimization using a robust error norm. The system is verified on both real and synthetic data.

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author
; ; ; ; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Constant Offset, Minimal Problem, RANSAC, Time-difference-of-arrival
host publication
2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings
volume
2019-May
article number
8683221
pages
5 pages
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019
conference location
Brighton, United Kingdom
conference dates
2019-05-12 - 2019-05-17
external identifiers
  • scopus:85068985994
ISBN
9781479981311
DOI
10.1109/ICASSP.2019.8683221
language
English
LU publication?
yes
id
2a3f6792-e13e-4b93-8e1a-6f7a340359ab
date added to LUP
2019-07-24 08:51:50
date last changed
2025-04-04 15:20:22
@inproceedings{2a3f6792-e13e-4b93-8e1a-6f7a340359ab,
  abstract     = {{<p>In this paper we study the problem of estimating receiver and sender positions from time-difference-of-arrival measurements, assuming an unknown constant time-difference-of-arrival offset. This problem is relevant for example for repetitive sound events. In this paper it is shown that there are three minimal cases to the problem. One of these (the five receiver, five sender problem) is of particular importance. A fast solver (with run-time under 4 μs) is given. We show how this solver can be used in robust estimation algorithms, based on RANSAC, for obtaining an initial estimate followed by local optimization using a robust error norm. The system is verified on both real and synthetic data.</p>}},
  author       = {{Batstone, K. and Flood, G. and Beleyur, T. and Larsson, V. and Goerlitz, H. R. and Oskarsson, M. and Astrom, K.}},
  booktitle    = {{2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings}},
  isbn         = {{9781479981311}},
  keywords     = {{Constant Offset; Minimal Problem; RANSAC; Time-difference-of-arrival}},
  language     = {{eng}},
  pages        = {{4410--4414}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  title        = {{Robust Self-calibration of Constant Offset Time-difference-of-arrival}},
  url          = {{http://dx.doi.org/10.1109/ICASSP.2019.8683221}},
  doi          = {{10.1109/ICASSP.2019.8683221}},
  volume       = {{2019-May}},
  year         = {{2019}},
}