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Statistical Trilateration with Skew-t Distributed Errors in LTE Networks

Tutkimustuotosvertaisarvioitu

Standard

Statistical Trilateration with Skew-t Distributed Errors in LTE Networks. / Müller, Philipp; del Peral-Rosado, José Antonio; Piche, Robert; Seco-Granados, Gonzalo.

julkaisussa: IEEE Transactions on Wireless Communications, Vuosikerta 15, Nro 10, 2016, s. 7114-7127.

Tutkimustuotosvertaisarvioitu

Harvard

Müller, P, del Peral-Rosado, JA, Piche, R & Seco-Granados, G 2016, 'Statistical Trilateration with Skew-t Distributed Errors in LTE Networks', IEEE Transactions on Wireless Communications, Vuosikerta. 15, Nro 10, Sivut 7114-7127. https://doi.org/10.1109/TWC.2016.2597836

APA

Müller, P., del Peral-Rosado, J. A., Piche, R., & Seco-Granados, G. (2016). Statistical Trilateration with Skew-t Distributed Errors in LTE Networks. IEEE Transactions on Wireless Communications, 15(10), 7114-7127. https://doi.org/10.1109/TWC.2016.2597836

Vancouver

Müller P, del Peral-Rosado JA, Piche R, Seco-Granados G. Statistical Trilateration with Skew-t Distributed Errors in LTE Networks. IEEE Transactions on Wireless Communications. 2016;15(10):7114-7127. https://doi.org/10.1109/TWC.2016.2597836

Author

Müller, Philipp ; del Peral-Rosado, José Antonio ; Piche, Robert ; Seco-Granados, Gonzalo. / Statistical Trilateration with Skew-t Distributed Errors in LTE Networks. Julkaisussa: IEEE Transactions on Wireless Communications. 2016 ; Vuosikerta 15, Nro 10. Sivut 7114-7127.

Bibtex - Lataa

@article{b59cf1002afc43cca400427d3e792df6,
title = "Statistical Trilateration with Skew-t Distributed Errors in LTE Networks",
abstract = "Localization accuracy of trilateration methods in Long Term Evolution (LTE) cellular networks, which are based on time-of-arrival (ToA), may be highly degraded due to multipath and non-line of sight (NLoS) conditions in urban and indoor environments. Multipath mitigation techniques usually involve a high computational burden and require wideband signals to be effective, which limit their adoption in certain low-cost and low-power mobile applications using narrow-band signals. As an alternative to these conventional techniques, this paper analyzes an Expectation Maximization (EM) localization algorithm that considers the skewness introduced by multipath in the LTE ranging error distribution. The EM algorithm is extensively studied with realistic emulated LTE signals of 1.4 MHz bandwidth. The EM method is compared to a standard Nonlinear Least Squares (NLS) algorithm under ideal simulated conditions and using realistic outdoor measurements from a laboratory testbed. The EM method outperforms the NLS method when the ranging errors in the training and test stages have similar distributions.",
author = "Philipp M{\"u}ller and {del Peral-Rosado}, {Jos{\'e} Antonio} and Robert Piche and Gonzalo Seco-Granados",
year = "2016",
doi = "10.1109/TWC.2016.2597836",
language = "English",
volume = "15",
pages = "7114--7127",
journal = "IEEE Transactions on Wireless Communications",
issn = "1536-1276",
publisher = "Institute of Electrical and Electronics Engineers",
number = "10",

}

RIS (suitable for import to EndNote) - Lataa

TY - JOUR

T1 - Statistical Trilateration with Skew-t Distributed Errors in LTE Networks

AU - Müller, Philipp

AU - del Peral-Rosado, José Antonio

AU - Piche, Robert

AU - Seco-Granados, Gonzalo

PY - 2016

Y1 - 2016

N2 - Localization accuracy of trilateration methods in Long Term Evolution (LTE) cellular networks, which are based on time-of-arrival (ToA), may be highly degraded due to multipath and non-line of sight (NLoS) conditions in urban and indoor environments. Multipath mitigation techniques usually involve a high computational burden and require wideband signals to be effective, which limit their adoption in certain low-cost and low-power mobile applications using narrow-band signals. As an alternative to these conventional techniques, this paper analyzes an Expectation Maximization (EM) localization algorithm that considers the skewness introduced by multipath in the LTE ranging error distribution. The EM algorithm is extensively studied with realistic emulated LTE signals of 1.4 MHz bandwidth. The EM method is compared to a standard Nonlinear Least Squares (NLS) algorithm under ideal simulated conditions and using realistic outdoor measurements from a laboratory testbed. The EM method outperforms the NLS method when the ranging errors in the training and test stages have similar distributions.

AB - Localization accuracy of trilateration methods in Long Term Evolution (LTE) cellular networks, which are based on time-of-arrival (ToA), may be highly degraded due to multipath and non-line of sight (NLoS) conditions in urban and indoor environments. Multipath mitigation techniques usually involve a high computational burden and require wideband signals to be effective, which limit their adoption in certain low-cost and low-power mobile applications using narrow-band signals. As an alternative to these conventional techniques, this paper analyzes an Expectation Maximization (EM) localization algorithm that considers the skewness introduced by multipath in the LTE ranging error distribution. The EM algorithm is extensively studied with realistic emulated LTE signals of 1.4 MHz bandwidth. The EM method is compared to a standard Nonlinear Least Squares (NLS) algorithm under ideal simulated conditions and using realistic outdoor measurements from a laboratory testbed. The EM method outperforms the NLS method when the ranging errors in the training and test stages have similar distributions.

U2 - 10.1109/TWC.2016.2597836

DO - 10.1109/TWC.2016.2597836

M3 - Article

VL - 15

SP - 7114

EP - 7127

JO - IEEE Transactions on Wireless Communications

JF - IEEE Transactions on Wireless Communications

SN - 1536-1276

IS - 10

ER -