Spherical Wave Array Based Positioning for Vehicular Scenarios
Marinho, Marco Antonio Marques ; Vinel, Alexey ; Tufvesson, Fredrik LU
; Antreich, Felix
; Costa, Joao Paulo Carvalho Lustosa Da
and De Freitas, Edison Pignaton
(2020)
In IEEE Access
8.
p.110073-110081
- Abstract
Smart vehicles are emerging as a possible solution for multiple concerns in road traffic, such as mobility and safety. This work presents radio localization methods based on simultaneous direction of arrival (DOA), time-delay, and range estimation using the SAGE algorithm. The proposed methods do not rely on external sources of information, such as global navigation satellite systems (GNSS). The proposed methods take advantage of signals of opportunity and do not require the transmission of location-specific signals; therefore, they do not increase the network load. A set of simulations using synthetic and measured data is provided to validate the proposed methods, and the results show that it is possible to achieve accuracy down to... (More)
Smart vehicles are emerging as a possible solution for multiple concerns in road traffic, such as mobility and safety. This work presents radio localization methods based on simultaneous direction of arrival (DOA), time-delay, and range estimation using the SAGE algorithm. The proposed methods do not rely on external sources of information, such as global navigation satellite systems (GNSS). The proposed methods take advantage of signals of opportunity and do not require the transmission of location-specific signals; therefore, they do not increase the network load. A set of simulations using synthetic and measured data is provided to validate the proposed methods, and the results show that it is possible to achieve accuracy down to decimeter and centimeter-level.
(Less)
- author
- Marinho, Marco Antonio Marques
; Vinel, Alexey
; Tufvesson, Fredrik
LU
; Antreich, Felix
; Costa, Joao Paulo Carvalho Lustosa Da
and De Freitas, Edison Pignaton
- organization
- publishing date
- 2020
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Antenna arrays, localization, VANETs, vulnerable road user
- in
- IEEE Access
- volume
- 8
- article number
- 9112178
- pages
- 9 pages
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- external identifiers
-
- scopus:85087400379
- ISSN
- 2169-3536
- DOI
- 10.1109/ACCESS.2020.3001062
- language
- English
- LU publication?
- yes
- id
- beee92b8-3285-4c25-a1ba-cb3cbc44e27c
- date added to LUP
- 2020-07-20 09:52:53
- date last changed
- 2022-05-12 03:52:59
@article{beee92b8-3285-4c25-a1ba-cb3cbc44e27c,
abstract = {{<p>Smart vehicles are emerging as a possible solution for multiple concerns in road traffic, such as mobility and safety. This work presents radio localization methods based on simultaneous direction of arrival (DOA), time-delay, and range estimation using the SAGE algorithm. The proposed methods do not rely on external sources of information, such as global navigation satellite systems (GNSS). The proposed methods take advantage of signals of opportunity and do not require the transmission of location-specific signals; therefore, they do not increase the network load. A set of simulations using synthetic and measured data is provided to validate the proposed methods, and the results show that it is possible to achieve accuracy down to decimeter and centimeter-level.</p>}},
author = {{Marinho, Marco Antonio Marques and Vinel, Alexey and Tufvesson, Fredrik and Antreich, Felix and Costa, Joao Paulo Carvalho Lustosa Da and De Freitas, Edison Pignaton}},
issn = {{2169-3536}},
keywords = {{Antenna arrays; localization; VANETs; vulnerable road user}},
language = {{eng}},
pages = {{110073--110081}},
publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
series = {{IEEE Access}},
title = {{Spherical Wave Array Based Positioning for Vehicular Scenarios}},
url = {{http://dx.doi.org/10.1109/ACCESS.2020.3001062}},
doi = {{10.1109/ACCESS.2020.3001062}},
volume = {{8}},
year = {{2020}},
}