Outdoor and indoor experiments with localization using LTE signals

Pittino, Federico; Driusso, Marco; Torre, Andrea Dalla; Marshall, C.

doi:10.1109/euronav.2017.7954223

Cited by 14 publications

(9 citation statements)

References 10 publications

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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 with cellular LTE signals has been studied in the recent literature. In [17], a super resolution algorithm was used to estimate the TOA of LTE signals indoors, and the position error distribution showed a 95% confidence interval of 12.9 m. In [18], a particle filter was used with laboratory-emulated LTE signals, assuming synchronized LTE transmitters which yielded a position root mean-squared error (RMSE) of 5.35 m.…”

Section: Introductionmentioning

confidence: 99%

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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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Section: Lte Receiver Architecturementioning

confidence: 99%

Section: Introductionmentioning

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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show abstract

“…The positioning performance achieved with LTE signals has been analyzed in the literature, andseveral software‐defined receivers (SDRs) have been proposed for navigation with real and laboratory‐emulated LTE signals . Experimental results demonstrated navigation solutions with different types of LTE reference signals in different environments, achieving meter‐level accuracy …”

Section: Introductionmentioning

confidence: 99%

“…[28][29][30] Experimental results demonstrated navigation solutions with different types of LTE reference signals in different environments, achieving meter-level accuracy. 17,23,[30][31][32] Five reference sequences in the received LTE signal have been studied for positioning: primary synchronization signal (PSS), secondary synchronization signal (SSS), cell-specific reference signal (CRS), positioning reference signal (PRS), and cyclic prefix (CP). Among these sequences, it was demonstrated that the CRS is always available and yields the most precise positioning due to its large transmission bandwidth.…”

Section: Introductionmentioning

confidence: 99%

LTE receiver design and multipath analysis for navigation in urban environments

2018

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Mitigating multipath of cellular long‐term evolution (LTE) signals for robust positioning in urban environments is considered. A computationally efficient receiver, which uses a phase‐locked loop (PLL)–aided delay‐locked loop (DLL) to track the received LTE signals, is presented. The PLL‐aided DLL uses orthogonal frequency division multiplexing (OFDM)–based discriminator functions to estimate and track the time‐of‐arrival. The code phase and carrier phase performances in an additive white Gaussian noise (AWGN) channel are evaluated numerically. The effects of multipath on the code phase and carrier phase are analyzed, demonstrating robust multipath mitigation for high transmission LTE bandwidths. The average of the DLL discriminator functions over multiple LTE symbols is presented to reduce the pseudorange error. The proposed receiver is evaluated on a ground vehicle in an urban environment. Experimental results show a root mean square error (RMSE) of 3.17 m, a standard deviation of 1.06 m, and a maximum error of 6.58 m between the proposed LTE receiver and the GPS navigation solution over a 1.44 km trajectory. The accuracy of the obtained pseudoranges with the proposed receiver is compared against two algorithms: estimation of signal parameters by rotational invariance techniques (ESPRIT) and EKAT (ESPRIT and Kalman filter).

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“…The positioning performance achieved with LTE signals has been analyzed in the literature [20][21][22][23] and several softwaredefined receivers (SDRs) have been proposed for navigation with real and laboratory-emulated LTE signals [24][25][26]. Experimental results demonstrated navigation solutions with different types of LTE reference signals in different environments, achieving meter level accuracy [12,19,[26][27][28].…”

Section: Introductionmentioning

confidence: 99%