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Estimating Uncertainty in Time-difference and Doppler Estimates

Flood, Gabrielle LU ; Heyden, Anders LU and Åström, Karl LU (2018) 7th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2018 p.245-253
Abstract (Swedish)
Sound and radio can be used to estimate the distance between a transmitter and a sender by correlating the emitted and received signal. Alternatively by correlating two received signals it is possible to estimate distance difference. Such methods can be divided into methods that are robust to noise and reverberation, but give limited precision and sub-sample refinements that are sensitive to noise, but give higher precision when initialized close to the real translation. In this paper we develop stochastic models that can explain the limits in the precision of such sub-sample time-difference estimates. Using such models we provide new methods for precise estimates of time-differences as well as Doppler effects. The method is verified on... (More)
Sound and radio can be used to estimate the distance between a transmitter and a sender by correlating the emitted and received signal. Alternatively by correlating two received signals it is possible to estimate distance difference. Such methods can be divided into methods that are robust to noise and reverberation, but give limited precision and sub-sample refinements that are sensitive to noise, but give higher precision when initialized close to the real translation. In this paper we develop stochastic models that can explain the limits in the precision of such sub-sample time-difference estimates. Using such models we provide new methods for precise estimates of time-differences as well as Doppler effects. The method is verified on both synthetic and real data. (Less)
Abstract
Sound and radio can be used to estimate the distance between a transmitter and a sender by correlating the emitted and received signal. Alternatively by correlating two received signals it is possible to estimate distance difference. Such methods can be divided into methods that are robust to noise and reverberation, but give limited precision and sub-sample refinements that are sensitive to noise, but give higher precision when initialized close to the real translation. In this paper we develop stochastic models that can explain the limits in the precision of such sub-sample time-difference estimates. Using such models we provide new methods for precise estimates of time-differences as well as Doppler effects. The method is verified on... (More)
Sound and radio can be used to estimate the distance between a transmitter and a sender by correlating the emitted and received signal. Alternatively by correlating two received signals it is possible to estimate distance difference. Such methods can be divided into methods that are robust to noise and reverberation, but give limited precision and sub-sample refinements that are sensitive to noise, but give higher precision when initialized close to the real translation. In this paper we develop stochastic models that can explain the limits in the precision of such sub-sample time-difference estimates. Using such models we provide new methods for precise estimates of time-differences as well as Doppler effects. The method is verified on both synthetic and real data. (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
Time-difference of Arrival, Sub-sample Methods, Doppler Effect, Uncertainty Measure
host publication
ICPRAM 2018 - Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM
pages
9 pages
publisher
SciTePress
conference name
7th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2018
conference location
Funchal, Portugal
conference dates
2018-01-16 - 2018-01-18
external identifiers
  • scopus:85052020465
ISBN
978-989-758-276-9
DOI
10.5220/0006722002450253
language
English
LU publication?
yes
id
0f354936-4b19-442f-bac5-458cafd279c1
date added to LUP
2018-04-03 12:00:51
date last changed
2019-03-19 03:52:07
@inproceedings{0f354936-4b19-442f-bac5-458cafd279c1,
  abstract     = {Sound and radio can be used to estimate the distance between a transmitter and a sender by correlating the emitted and received signal. Alternatively by correlating two received signals it is possible to estimate distance difference. Such methods can be divided into methods that are robust to noise and reverberation, but give limited precision and sub-sample refinements that are sensitive to noise, but give higher precision when initialized close to the real translation. In this paper we develop stochastic models that can explain the limits in the precision of such sub-sample time-difference estimates. Using such models we provide new methods for precise estimates of time-differences as well as Doppler effects. The method is verified on both synthetic and real data.},
  author       = {Flood, Gabrielle and Heyden, Anders and Åström, Karl},
  isbn         = {978-989-758-276-9},
  keyword      = {Time-difference of Arrival,Sub-sample Methods,Doppler Effect,Uncertainty Measure},
  language     = {eng},
  location     = {Funchal, Portugal},
  pages        = {245--253},
  publisher    = {SciTePress},
  title        = {Estimating Uncertainty in Time-difference and Doppler Estimates},
  url          = {http://dx.doi.org/10.5220/0006722002450253},
  year         = {2018},
}