SDR based RFID reader for passive tag localization using phase difference of arrival techniques

Grosinger, Jasmin; Khan, Hassan Noor; Amschl, Dominik; Priller, Peter; Muehlmann, Ulrich; Bösch, Wolfgang

doi:10.1109/mwsym.2016.7538227

Cited by 15 publications

(4 citation statements)

References 13 publications

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“…5 do not completely hold for this environment, e.g., the tag is not far away from the reader, compared to the spacing of the receiving antennas. Finally, the range estimation is based on not faultless direction estimates [23].…”

Section: Reader Verificationmentioning

confidence: 99%

SIMO UHF RFID reader using sensor fusion for tag localization in a selected environment

Grosinger

Khan

Auinger

et al. 2016

Elektrotech. Inftech.

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This paper presents an ultra high frequency (UHF) radio frequency identification (RFID) reader for transponder (tag) localization in a selected environment-an AVL engine test bed. The choice of the UHF RFID reader hardware components is based on the evaluation of radio channel measurements in the engine test bed. The presented method of the channel measurement based implementation of an RFID reader can be favorably applied to realize reliable custom-built UHF RFID systems in any selected environment. The core of the implemented UHF RFID reader is a software defined radio (SDR) that enables rapid prototyping and thus a fast verification of localization techniques. The localization is realized by a single input multiple output (SIMO) antenna configuration and the exploitation of phase difference of arrival (PDoA) techniques. The implemented PDoA techniques allow to estimate the direction and the range of a tag. A sensor fusion of direction and range estimates enables a two dimensional tag localization. The functionality of the reader hardware implementation and the implemented PDoA techniques have been verified in an anechoic chamber reaching a localization accuracy of 15 cm.Keywords: phase difference of arrival; sensor fusion; software defined radio; tag localization; UHF RFID SIMO UHF RFID-Lesegerät zur Tag-Lokalisierung mittels Sensorfusion in einer ausgewählten Umgebung. Dieser Artikel präsentiert ein RFID (Radio Frequency

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Section: Reader Verificationmentioning

confidence: 99%

SIMO UHF RFID reader using sensor fusion for tag localization in a selected environment

Grosinger

Khan

Auinger

et al. 2016

Elektrotech. Inftech.

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“…LPS are categorized through the physical property measured for calculating the target location: power [ 8 ], angle [ 9 ], phase [ 10 ], frequency [ 11 ], time [ 12 ] and hybridizations of them [ 13 , 14 ].…”

Section: Introductionmentioning

confidence: 99%

Hybrid Memetic Algorithm for the Node Location Problem in Local Positioning Systems

Díez-González

Verde

Ferrero-Guillén

et al. 2020

Sensors

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Local Positioning Systems (LPS) have shown excellent performance for applications that demand high accuracy. They rely on ad-hoc node deployments which fit the environment characteristics in order to reduce the system uncertainties. The obtainment of competitive results through these systems requires the solution of the Node Location Problem (finding the optimal cartesian coordinates of the architecture sensors). This problem has been assigned as NP-Hard, therefore a heuristic solution is recommended for addressing this complex problem. Genetic Algorithms (GA) have shown an excellent trade-off between diversification and intensification in the literature. However, in Non-Line-of-Sight (NLOS) environments in which there is not continuity in the fitness function evaluation of a particular node distribution among contiguous solutions, challenges arise for the GA during the exploration of new potential regions of the space of solutions. Consequently, in this paper, we first propose a Hybrid GA with a combination of the GA operators in the evolutionary process for the Node Location Problem. Later, we introduce a Memetic Algorithm (MA) with a Local Search (LS) strategy for exploring the most different individuals of the population in search of improving the previous results. Finally, we combine the Hybrid Genetic Algorithm (HGA) and Memetic Algorithm (MA), designing an enhanced novel methodology for solving the Node Location Problem, a Hybrid Memetic Algorithm (HMA). Results show that the HMA proposed in this article outperforms all of the individual configurations presented and attains an improvement of 14.2% in accuracy for the Node Location Problem solution in the scenario of simulations with regards to the previous GA optimizations of the literature.

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“…So far the research and development of the RFID-based localization techniques focus on their indoor applications. These techniques include the angle-related measurements such as Angle of Arrival (AoA) (Cremer et al, 2015;Azzouzi et al, 2011;Kulakowski et al, 2010) and the distance-related measurements such as Received Signal Strength Indicator (RSSI) (Zhang et al, 2014;Sansanayuth et al, 2013;Ni et al, 2011), Time Difference of Arrival (TDoA) (Popa et al, 2010;Bailey at al., 2007), Phase of Arrival (PoA) Scherhaufl et al, 2013) and Phase-Difference-of-Arrival (PDoA) (Gortschacher et al, 2016;. Although different approaches have been studied, these techniques still encounter some problems such as greater complexity of practical implementation, higher cost and lower accuracy, which have limited their practical applications.…”

Section: Introductionmentioning

confidence: 99%

RFID localisation using special antenna technique

Laker

Hassan

Dobson

et al. 2018

IJRFITA

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In this paper, a RFID localization method using special antenna technique is presented. By using an active RFID system with external dipole antenna the angle and the distance from the antenna to the RFID tag can be found based on the principle of null steering. Compared with other techniques, this method has a number of advantages such as simple design, easy to implement, low cost and high reliability.

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SDR based RFID reader for passive tag localization using phase difference of arrival techniques

Cited by 15 publications

References 13 publications

SIMO UHF RFID reader using sensor fusion for tag localization in a selected environment

SIMO UHF RFID reader using sensor fusion for tag localization in a selected environment

Hybrid Memetic Algorithm for the Node Location Problem in Local Positioning Systems

RFID localisation using special antenna technique

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