Indoor positioning using LTE signals

Driusso, Marco; Marshall, C.; Sabathy, Mischa; Knutti, Fabian; H, Mathis; Babich, F.

doi:10.1109/ipin.2016.7743656

Cited by 31 publications

(11 citation statements)

References 16 publications

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“…Another category of LTE signal TOA estimator makes use of the SRA, e.g., ESPRIT, based on the channel frequency measurements (Li & Pahlavan, 2004). In Driusso et al (2017Driusso et al ( , 2016, a TOA estimation algorithm, named the ESPRIT and Kalman filter for time-of-Arrival Tracking (EKAT), using the CRS, was proposed to increase the robustness to multipath effects. Signal combination in multiple domains, i.e., time, frequency, spatial, and cell ID domains, was adopted for performance enhancement.…”

Section: Experiments Testingmentioning

confidence: 99%

“…In Driusso et al. (2017, 2016), a TOA estimation algorithm, named the ESPRIT and Kalman filter for time‐of‐Arrival Tracking (EKAT), using the CRS, was proposed to increase the robustness to multipath effects. Signal combination in multiple domains, i.e., time, frequency, spatial, and cell ID domains, was adopted for performance enhancement.…”

Section: Review Of Performance Analysis Of the Toa‐based Positioning mentioning

confidence: 99%

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Performance comparison of time‐of‐arrival estimation techniques for LTE signals in realistic multipath propagation channels

Wang

Morton

2020

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Long term evolution (LTE) signals have the potential for use in positioning, especially in challenging environments. The time-of-arrival (TOA)-based technique supported by LTE is attractive due to its high positioning accuracy. However, it is vulnerable to multipath propagation effects in typical LTE channels. This paper will summarize several existing advanced TOA estimators for LTE signals, i.e., first peak detection, information theoretic criteria, super-resolution algorithm, and delay-lock loop (DLL). Later, the paper will evaluate the TOA estimation performances of these techniques with multipath propagation effects and varying signal conditions using simulations. For the DLL, the multipath error envelope metric is assessed for different signal bandwidths. The root mean square errors of the TOA estimations are compared to evaluate suitable TOA estimators under various conditions. Finally, some other performance characteristics of these techniques are also discussed. K E Y W O R D S long term evolution, multipath propagation channel, time-of-arrival estimation This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Section: Experiments Testingmentioning

confidence: 99%

Section: Review Of Performance Analysis Of the Toa‐based Positioning mentioning

confidence: 99%

Performance comparison of time‐of‐arrival estimation techniques for LTE signals in realistic multipath propagation channels

Wang

Morton

2020

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“…Several code phase-based receivers have been proposed to obtain the pseudorange measurements from LTE signals [13,[26][27][28]. Analytical and experimental results have shown that the performance of these receivers significantly degrades in multipath environments, making them practically unusable in indoor environments [14,17,29]. In this section, a receiver structure is proposed, which exploits the carrier phase measurements of LTE signals.…”

Section: Lte Receiver Architecturementioning

confidence: 99%

Indoor Positioning Based on LTE Carrier Phase Measurements and an Inertial Measurement Unit

Abdallah¹,

Shamaei²,

Kassas³

2018

Proceedings of the 31st International Technical Meeting of the Satellite Division of the Institute of Navigation (ION GNSS+ 201

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and a member of the Autonomous Systems Perception, Intelligence, and Navigation (ASPIN) Laboratory. He received a B.E in Electrical Engineering from the Lebanese American University. His current research interests include opportunistic navigation and software-defined radio. Kimia Shamaei is a Ph.D. candidate at the University of California, Riverside and a member of the ASPIN Laboratory. She received her B.S. and M.S. in Electrical Engineering from the University of Tehran. Her current research interests include analysis and modeling of signals of opportunity and software-defined radio.

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“…fingerprinting-based indoor positioning, adaptive forward-backward greedy algorithm, feature selection, modified Jaccard index, subregion selection, signals of opportunity. Torres-Sospedra et al 2015;Xie et al 2016), or RSS of cellular towers (Driusso et al 2016). Such signals are location dependent features, many of which can easily be measured using a variety of mobile devices (e.g., smart phones or tablets).…”

Section: Introductionmentioning

confidence: 99%

Modified Jaccard index analysis and adaptive feature selection for location fingerprinting with limited computational complexity

Zhou

2019

Journal of Location Based Services

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We propose an approach for fingerprinting-based positioning which reduces the data requirements and computational complexity of the online positioning stage. It is based on a segmentation of the entire region of interest into subregions, identification of candidate subregions during the online-stage, and position estimation using a preselected subset of relevant features. The subregion selection uses a modified Jaccard index which quantifies the similarity between the features observed by the user and those available within the reference fingerprint map. The adaptive feature selection is achieved using an adaptive forward-backward greedy search which determines a subset of features for each subregion, relevant with respect to a given fingerprinting-based positioning method. In an empirical study using signals of opportunity for fingerprinting the proposed subregion and feature selection reduce the processing time during the online-stage by a factor of about 10 while the positioning accuracy does not deteriorate significantly. In fact, in one of the two study cases the 90 th percentile of the circular error increased by 7.5% while in the other study case we even found a reduction of the corresponding circular error by 30%. KEYWORDSfingerprinting-based indoor positioning, adaptive forward-backward greedy algorithm, feature selection, modified Jaccard index, subregion selection, signals of opportunity. Torres-Sospedra et al. 2015;Xie et al. 2016), or RSS of cellular towers (Driusso et al. 2016). Such signals are location dependent features, many of which can easily be measured using a variety of mobile devices (e.g., smart phones or tablets). FIPSs are therefore also called feature-based indoor positioning systems (Kasprzak et al. 2013). The attainable quality of the position estimation using FIPS mainly depends on the spatial gradient of the features and on their stability or predictability over time (Niedermayr et al. 2014).Key challenges of FIPS, especially the ones using RSS readings from WLAN APs, are discussed e.g., in (Kushki et al. 2007) and more recently in (He and Chan 2016;Yassin et al. 2017). The former publication focuses on four challenges of FIPS utilizing vectors of RSS from WLAN AP as features. In particular, the paper addresses i) the generation of a fingerprint database to provide a reference fingerprint map (RFM) for positioning, ii) pre-processing of fingerprints for reducing computational complexity and enhancing accuracy, iii) selection of APs for positioning, and iv) estimation of the distance between a fingerprint measured by the user and the fingerprints represented within in the reference database. Extensions to large indoor regions and handling of variations of observable features caused by the changes of indoor environments or signal sources of the features (e.g., replacement of broken APs) are addressed in (He and Chan 2016).Regarding generation of the RFM, various approaches have been proposed (He and Chan 2016). Initially, the features were mapped by dedicated surveying measurements (...

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Indoor positioning using LTE signals

Cited by 31 publications

References 16 publications

Performance comparison of time‐of‐arrival estimation techniques for LTE signals in realistic multipath propagation channels

Performance comparison of time‐of‐arrival estimation techniques for LTE signals in realistic multipath propagation channels

Indoor Positioning Based on LTE Carrier Phase Measurements and an Inertial Measurement Unit

Modified Jaccard index analysis and adaptive feature selection for location fingerprinting with limited computational complexity

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