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
- 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 (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)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/0f354936-4b19-442f-bac5-458cafd279c1
- author
- Flood, Gabrielle
LU
; Heyden, Anders
LU
and Åström, Karl
LU
- organization
- publishing date
- 2018-01
- 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
- 2023-12-16 14:07:50
@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}},
booktitle = {{ICPRAM 2018 - Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM}},
isbn = {{978-989-758-276-9}},
keywords = {{Time-difference of Arrival; Sub-sample Methods; Doppler Effect; Uncertainty Measure}},
language = {{eng}},
pages = {{245--253}},
publisher = {{SciTePress}},
title = {{Estimating Uncertainty in Time-difference and Doppler Estimates}},
url = {{http://dx.doi.org/10.5220/0006722002450253}},
doi = {{10.5220/0006722002450253}},
year = {{2018}},
}