Location estimation in multipath environments with unsynchronized base stations

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

Position estimation of a target node based on time-of-flight measurements in multipath environments is challenging, especially when the signal bandwidth is limited, such as is the case in WIFI 802.11. Furthermore, the availability of location-based services in today's wireless networks is still limited, since it requires either the overhead of synchronizing the base stations (BSs) or applying modification in the BSs protocols to support round trip delay measurements. In this paper, an algorithm for location estimation of a target node in a multipath environment based on one-way transmission of OFDM signals from unsynchronized base stations is developed. The solution approach is based on using a reference node with known position, which also receives the BSs transmission, and deriving an approximate maximum likelihood position estimation of the target node based on the collected samples at both the target and the reference nodes. We demonstrate the algorithm's performance with off-the-shelf WIFI 802.11g routers, which are unsynchronized and do not include any dedicated protocol for range or location estimation. The novel algorithm attains a position root mean square error of 1.7m and a position norm error that is smaller than 3m in 90%.

Original languageEnglish
Title of host publication2016 IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2016
PublisherIEEE Computer Society
ISBN (Electronic)9781509021031
DOIs
StatePublished - 15 Sep 2016
Event2016 IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2016 - Rio de Rio de Janeiro, Brazil
Duration: 10 Jul 201613 Jul 2016

Publication series

NameProceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop
Volume2016-September
ISSN (Electronic)2151-870X

Conference

Conference2016 IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2016
Country/TerritoryBrazil
CityRio de Rio de Janeiro
Period10/07/1613/07/16

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