Software-Defined Radio LTE Positioning Receiver Towards Future Hybrid Localization Systems

Peral-Rosado, José A. del; López-Salcedo, José A.; Seco-Granados, Gonzalo; Zanier, Francesca; Crosta, Paolo; Ioannides, Rigas; Crisci, Massimo

doi:10.2514/6.2013-5610

Cited by 43 publications

(18 citation statements)

References 9 publications

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“…The positioning performance achieved with LTE signals has been analyzed in the literature, [24][25][26][27] andseveral software-defined receivers (SDRs) have been proposed for navigation with real and laboratory-emulated LTE signals. [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).…”

Section: Introductionmentioning

confidence: 94%

“…However, PRS‐based positioning suffers from a number of drawbacks: (1) The user's privacy is compromised since the user's location is revealed to the network, (2) localization services are limited only to paying subscribers and from a particular cellular provider, (3) ambient LTE signals transmitted by other cellular providers are not exploited, and (4) additional bandwidth is required to accommodate the PRS, which caused the majority of cellular providers to choose not to transmit the PRS in favor of dedicating more bandwidth for traffic channels. To circumvent these drawbacks, UE‐based positioning approaches that exploit the CRS have been explored, where several advanced signal processing techniques were developed to achieve a performance similar to the PRS …”

Section: Lte Signal Modelmentioning

confidence: 99%

“…To circumvent these drawbacks, UE-based positioning approaches that exploit the CRS have been explored, where several advanced signal processing techniques were developed to achieve a performance similar to the PRS. 28,29,31,34,43 The CRS is transmitted for channel estimation purposes and is scattered in time and bandwidth. The CRS sequence is defined based on the cell ID, allocated symbol, slot, and transmission antenna port number, such that different eNodeBs' CRS sequences are orthogonal to each other.…”

Section: Ranging Signalsmentioning

confidence: 99%

“…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%

See 3 more Smart Citations

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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Section: Introductionmentioning

confidence: 94%

Section: Lte Signal Modelmentioning

confidence: 99%

Section: Ranging Signalsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

LTE receiver design and multipath analysis for navigation in urban environments

2018

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show abstract

“…However, PRS-based positioning suffers from a number of drawbacks: (1) the user's privacy is compromised since the user's location is revealed to the network [23], (2) localization services are limited only to paying subscribers and from a particular cellular provider, (3) ambient LTE signals transmitted by other cellular providers are not exploited, and (4) additional bandwidth is required to accommodate the PRS, which caused the majority of cellular providers to choose not to transmit the PRS in favor of dedicating more bandwidth for traffic channels. To circumvent these drawbacks, UE-based positioning approaches that exploit the cell-specific reference signal (CRS) have been explored, where several advanced signal processing techniques exploited to achieve a performance similar to the PRS [24]- [28].…”

Section: Introductionmentioning

confidence: 99%

Exploiting LTE Signals for Navigation: Theory to Implementation

Shamaei

Khalife

Kassas

2018

IEEE Trans. Wireless Commun.

134

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Exploiting cellular long-term evolution (LTE) downlink signals for navigation purposes is considered. First, the transmitted LTE signal model is presented and relevant positioning and timing information that can be extracted from these signals are identified. Second, a software-defined receiver (SDR) that is capable of acquiring, tracking, and producing pseudoranges from LTE signals is designed. Third, a threshold-based approach for detecting the first peak of the channel impulse response is proposed in which the threshold adapts to the environmental noise level. This method is demonstrated to be robust against noise and interference in the environment. Fourth, an approach for estimating pseudoranges of multiple base stations by tracking only one base station is proposed. Fifth, a navigation framework based on an extended Kalman filter is proposed to produce the navigation solution using the pseudorange measurements obtained by the proposed SDR. Finally, the proposed SDR is evaluated experimentally on an unmanned aerial vehicle (UAV) and a ground vehicle. The root mean squared-error (RMSE) between the GPS navigation solution and LTE signals from three base stations produced by the proposed SDR for the UAV is shown to be 8.15 m with a standard deviation of 2.83 m. The RMSE between the GPS navigation solution and LTE signals from six base stations in a severe multipath environment for the ground vehicle is shown to be 5.80 m with a standard deviation of 3.02 m.

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Navigation with Cellular Signals of Opportunity

Kassas

2020

Position, Navigation, and Timing Technologies in the 21st Century

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Software-Defined Radio LTE Positioning Receiver Towards Future Hybrid Localization Systems

Cited by 43 publications

References 9 publications

LTE receiver design and multipath analysis for navigation in urban environments

LTE receiver design and multipath analysis for navigation in urban environments

Exploiting LTE Signals for Navigation: Theory to Implementation

Navigation with Cellular Signals of Opportunity

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