Real-time RFID localization using RSS

Chawla, Kirti; McFarland, Christopher; Robins, Gabriel; Shope, Connor

doi:10.1109/icl-gnss.2013.6577259

Cited by 51 publications

(33 citation statements)

References 16 publications

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“…These techniques measure the distance value of each reference point obtained by converting RSSI to a computed distance measurement. Many researchers have investigated RFID localisations using the triangulations on various models for indoor positioning such as TOA [13], TDOA [14], PDOA [15] and RSS [16] [17]. Localisation, along with RFID Lateration techniques have been used for various indoor positioning applications.…”

Section: Distance Estimationmentioning

confidence: 99%

RFID Localisation for Internet of Things Smart Homes : A Survey

Alsinglawi¹,

Elkhodr²,

Nguyễn³

et al. 2017

IJCNC

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Section: Distance Estimationmentioning

confidence: 99%

RFID Localisation for Internet of Things Smart Homes : A Survey

Alsinglawi¹,

Elkhodr²,

Nguyễn³

et al. 2017

IJCNC

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“…A number of studies have created and applied trilateration algorithms in locating construction objects with varying accuracy levels [10,19,20]. Fig.…”

Section: Range-based Localizationmentioning

confidence: 99%

A boundary condition based algorithm for locating construction site objects using RFID and GPS

Cai

Andoh²,

et al. 2014

Advanced Engineering Informatics

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“…For the distance measurement, several schemes such as time of arrival (TOA), time difference of arrival (TDOA) or received signal strength (RSS) are used. RSS-based localization is applicable to various systems because of the simplicity for measurement and is used in many systems [2]. However, RSS-based localization is difficult to maintain high estimation accuracy because the performances deteriorates severely in noisy environments.…”

Section: Introductionmentioning

confidence: 99%

An improved NLOS detection scheme using stochastic characteristics for indoor localization

Horiba

Okamoto

Shinohara

et al. 2015

2015 International Conference on Information Networking (ICOIN)

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Indoor localization scheme using sensor networks is expected to be applied in various fields, and the localization scheme using time of arrival (TOA) is wellknown. However, the estimation accuracy of TOA localization is severely deteriorated in non-line-of-sight (NLOS) environments, and the NLOS mitigation scheme such as iterative minimum residual (IMR) scheme is required. The IMR scheme is often applied because of its lower calculation complexity. However, when an increased number of NLOS nodes exist, the NLOS detection errors increase in the IMR scheme and the estimation accuracy deteriorates. Therefore, in this paper, we propose a new scheme exploiting rough NLOS detection based on stochastic characteristics before the application of IMR scheme to improve the localization accuracy. The improved performance is shown by computer simulations.

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Real-time RFID localization using RSS

Cited by 51 publications

References 16 publications

RFID Localisation for Internet of Things Smart Homes : A Survey

RFID Localisation for Internet of Things Smart Homes : A Survey

A boundary condition based algorithm for locating construction site objects using RFID and GPS

An improved NLOS detection scheme using stochastic characteristics for indoor localization

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