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Sensors 2017, 17(12), 2869; https://doi.org/10.3390/s17122869

A Practical, Robust and Fast Method for Location Localization in Range-Based Systems

1
State Key Lab of Subtropical Building Science, South China University of Technology, Guangzhou 510640, China
2
State Key Laboratory of Coal Resources and Safe Mining, China University of Mining and Technology, Xuzhou 221116, China
3
School of Information, Guangdong Communication Polytechnic, Guangzhou 510650, China
4
Civil, Environmental and Architectural Engineering, The University of Kansas, Lawrence, KS 66045, USA
*
Author to whom correspondence should be addressed.
Received: 31 October 2017 / Revised: 30 November 2017 / Accepted: 9 December 2017 / Published: 11 December 2017
(This article belongs to the Section Sensor Networks)
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Abstract

Location localization technology is used in a number of industrial and civil applications. Real time location localization accuracy is highly dependent on the quality of the distance measurements and efficiency of solving the localization equations. In this paper, we provide a novel approach to solve the nonlinear localization equations efficiently and simultaneously eliminate the bad measurement data in range-based systems. A geometric intersection model was developed to narrow the target search area, where Newton’s Method and the Direct Search Method are used to search for the unknown position. Not only does the geometric intersection model offer a small bounded search domain for Newton’s Method and the Direct Search Method, but also it can self-correct bad measurement data. The Direct Search Method is useful for the coarse localization or small target search domain, while the Newton’s Method can be used for accurate localization. For accurate localization, by utilizing the proposed Modified Newton’s Method (MNM), challenges of avoiding the local extrema, singularities, and initial value choice are addressed. The applicability and robustness of the developed method has been demonstrated by experiments with an indoor system. View Full-Text
Keywords: location localization; indoor localization; positioning algorithm; Newton’s Method location localization; indoor localization; positioning algorithm; Newton’s Method
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Huang, S.; Wu, Z.; Misra, A. A Practical, Robust and Fast Method for Location Localization in Range-Based Systems. Sensors 2017, 17, 2869.

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