Location estimation in NLOS environments using geometric centering optimization methods

Zebin Xie; Lei Sun; Yunfang Wang

doi:10.1109/WCSP.2013.6677249

Location estimation in NLOS environments using geometric centering optimization methods

Zebin Xie, Lei Sun, Yunfang Wang

School of Integrated Circuits and Electronics

Beijing Institute of Technology

Research output: Contribution to conference › Paper › peer-review

Abstract

Non-Line-of-Sight (NLOS) propagation problem is a main difficulty which severely degrades the accuracy of localization techniques in wireless networks. When very few Line-of-Sight (LOS) data are available, many known NLOS positioning algorithms are of bad performance. This paper proposes several geometric centering optimization methods for mobile station (MS) positioning under severe NLOS environments. These centering methods consider several center points inside a feasible region, which is defined by the Time-of-Arrival (TOA) measurements, as the estimated positions. Chebyshev center, analytic center and improved analytic center are studied and discussed respectively. Simulation results show the improved analytic center performs best comparing with other known algorithms.

Original language	English
DOIs	https://doi.org/10.1109/WCSP.2013.6677249
Publication status	Published - 2013
Event	2013 International Conference on Wireless Communications and Signal Processing, WCSP 2013 - Hangzhou, China Duration: 24 Oct 2013 → 26 Oct 2013

Conference

Conference	2013 International Conference on Wireless Communications and Signal Processing, WCSP 2013
Country/Territory	China
City	Hangzhou
Period	24/10/13 → 26/10/13

Keywords

Geometric constrained optimization
Non-Line-of-Sight (NLOS)
Time-of-Arrival (TOA)
localization

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10.1109/WCSP.2013.6677249

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title = "Location estimation in NLOS environments using geometric centering optimization methods",

abstract = "Non-Line-of-Sight (NLOS) propagation problem is a main difficulty which severely degrades the accuracy of localization techniques in wireless networks. When very few Line-of-Sight (LOS) data are available, many known NLOS positioning algorithms are of bad performance. This paper proposes several geometric centering optimization methods for mobile station (MS) positioning under severe NLOS environments. These centering methods consider several center points inside a feasible region, which is defined by the Time-of-Arrival (TOA) measurements, as the estimated positions. Chebyshev center, analytic center and improved analytic center are studied and discussed respectively. Simulation results show the improved analytic center performs best comparing with other known algorithms.",

keywords = "Geometric constrained optimization, Non-Line-of-Sight (NLOS), Time-of-Arrival (TOA), localization",

author = "Zebin Xie and Lei Sun and Yunfang Wang",

year = "2013",

doi = "10.1109/WCSP.2013.6677249",

language = "English",

note = "2013 International Conference on Wireless Communications and Signal Processing, WCSP 2013 ; Conference date: 24-10-2013 Through 26-10-2013",

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TY - CONF

T1 - Location estimation in NLOS environments using geometric centering optimization methods

AU - Xie, Zebin

AU - Sun, Lei

AU - Wang, Yunfang

PY - 2013

Y1 - 2013

N2 - Non-Line-of-Sight (NLOS) propagation problem is a main difficulty which severely degrades the accuracy of localization techniques in wireless networks. When very few Line-of-Sight (LOS) data are available, many known NLOS positioning algorithms are of bad performance. This paper proposes several geometric centering optimization methods for mobile station (MS) positioning under severe NLOS environments. These centering methods consider several center points inside a feasible region, which is defined by the Time-of-Arrival (TOA) measurements, as the estimated positions. Chebyshev center, analytic center and improved analytic center are studied and discussed respectively. Simulation results show the improved analytic center performs best comparing with other known algorithms.

AB - Non-Line-of-Sight (NLOS) propagation problem is a main difficulty which severely degrades the accuracy of localization techniques in wireless networks. When very few Line-of-Sight (LOS) data are available, many known NLOS positioning algorithms are of bad performance. This paper proposes several geometric centering optimization methods for mobile station (MS) positioning under severe NLOS environments. These centering methods consider several center points inside a feasible region, which is defined by the Time-of-Arrival (TOA) measurements, as the estimated positions. Chebyshev center, analytic center and improved analytic center are studied and discussed respectively. Simulation results show the improved analytic center performs best comparing with other known algorithms.

KW - Geometric constrained optimization

KW - Non-Line-of-Sight (NLOS)

KW - Time-of-Arrival (TOA)

KW - localization

UR - http://www.scopus.com/inward/record.url?scp=84898945635&partnerID=8YFLogxK

U2 - 10.1109/WCSP.2013.6677249

DO - 10.1109/WCSP.2013.6677249

M3 - Paper

AN - SCOPUS:84898945635

T2 - 2013 International Conference on Wireless Communications and Signal Processing, WCSP 2013

Y2 - 24 October 2013 through 26 October 2013

ER -

Location estimation in NLOS environments using geometric centering optimization methods

Abstract

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Keywords

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