Hybrid RSS-RTT Localization Scheme for Indoor Wireless Networks

Nowadays, a variety of information related to the distance between two wireless devices can be easily obtained. This paper presents a hybrid localization scheme that combines received signal strength (RSS) and round-trip time (RTT) information with the aim of improving the previous localization sche...

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Main Authors: R. J. Durán, J. Prieto, P. Fernández, R. M. Lorenzo, S. Mazuelas, A. Bahillo, E. J. Abril
Format: Article
Language:English
Published: SpringerOpen 2010-01-01
Series:EURASIP Journal on Advances in Signal Processing
Online Access:http://dx.doi.org/10.1155/2010/126082
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spelling doaj-b8d479abd4cd441db1610222f0a4dbc02020-11-25T00:23:23ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61721687-61802010-01-01201010.1155/2010/126082Hybrid RSS-RTT Localization Scheme for Indoor Wireless NetworksR. J. DuránJ. PrietoP. FernándezR. M. LorenzoS. MazuelasA. BahilloE. J. AbrilNowadays, a variety of information related to the distance between two wireless devices can be easily obtained. This paper presents a hybrid localization scheme that combines received signal strength (RSS) and round-trip time (RTT) information with the aim of improving the previous localization schemes. The hybrid localization scheme is based on an RSS ranging technique that uses RTT ranging estimates as constraints among other heuristic constraints. Once distances have been well estimated, the position of the mobile station (MS) to be located is estimated using a new robust least-squared multilateration (RLSM) technique that combines the RSS and RTT ranging estimates mitigating the negative effect of outliers. The hybrid localization scheme coupled with simulations and measurements demonstrates that it outperforms the conventional RSS-based and RTT-based localization schemes, without using either a tracking technique or a previous calibration stage of the environment. http://dx.doi.org/10.1155/2010/126082
collection DOAJ
language English
format Article
sources DOAJ
author R. J. Durán
J. Prieto
P. Fernández
R. M. Lorenzo
S. Mazuelas
A. Bahillo
E. J. Abril
spellingShingle R. J. Durán
J. Prieto
P. Fernández
R. M. Lorenzo
S. Mazuelas
A. Bahillo
E. J. Abril
Hybrid RSS-RTT Localization Scheme for Indoor Wireless Networks
EURASIP Journal on Advances in Signal Processing
author_facet R. J. Durán
J. Prieto
P. Fernández
R. M. Lorenzo
S. Mazuelas
A. Bahillo
E. J. Abril
author_sort R. J. Durán
title Hybrid RSS-RTT Localization Scheme for Indoor Wireless Networks
title_short Hybrid RSS-RTT Localization Scheme for Indoor Wireless Networks
title_full Hybrid RSS-RTT Localization Scheme for Indoor Wireless Networks
title_fullStr Hybrid RSS-RTT Localization Scheme for Indoor Wireless Networks
title_full_unstemmed Hybrid RSS-RTT Localization Scheme for Indoor Wireless Networks
title_sort hybrid rss-rtt localization scheme for indoor wireless networks
publisher SpringerOpen
series EURASIP Journal on Advances in Signal Processing
issn 1687-6172
1687-6180
publishDate 2010-01-01
description Nowadays, a variety of information related to the distance between two wireless devices can be easily obtained. This paper presents a hybrid localization scheme that combines received signal strength (RSS) and round-trip time (RTT) information with the aim of improving the previous localization schemes. The hybrid localization scheme is based on an RSS ranging technique that uses RTT ranging estimates as constraints among other heuristic constraints. Once distances have been well estimated, the position of the mobile station (MS) to be located is estimated using a new robust least-squared multilateration (RLSM) technique that combines the RSS and RTT ranging estimates mitigating the negative effect of outliers. The hybrid localization scheme coupled with simulations and measurements demonstrates that it outperforms the conventional RSS-based and RTT-based localization schemes, without using either a tracking technique or a previous calibration stage of the environment.
url http://dx.doi.org/10.1155/2010/126082
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