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General Information
    • ISSN: 1793-8198 (Print)
    • Abbreviated Title: Int. J. Mater. Mech. Manuf.
    • Frequency: Bimonthly
    • DOI: 10.18178/IJMMM
    • Editor-in-Chief: Prof. Ian McAndrew
    • Co-editor-in-Chief: Prof. K. M. Gupta
    • Executive Editor: Cherry L. Chen
    • Abstracting/Indexing: EI (INSPEC, IET), Chemical Abstracts Services (CAS),  ProQuest, Crossref, Ulrich's Periodicals Directory,  EBSCO.
    • E-mail ijmmm@ejournal.net

Prof. Ian McAndrew
Capitol Technology University, USA
It is my honor to be the editor-in-chief of IJMMM. I will do my best to work with the editorial team and help make this journal better.

IJMMM 2019 Vol.7(1): 59-62 ISSN: 1793-8198
DOI: 10.18178/ijmmm.2019.7.1.430

Optimal Solution for Localization of a Target Using RSS-AOA Measurements

Hyukwoo Lee, Kyunghyun Lee, and Kwanho You
Abstract—In many industrial areas, the localization method using the active radio signal is widely used due to its reliability under indoor environment compared with global positioning system (GPS). Received signal strength (RSS) and angle of arrival (AOA) measurement based localization is a commonly used scheme for location estimation using active radio source from a target. In this paper, we propose the hybrid localization method using RSS and AOA measurement that has advantages of each localization scheme. However, the measurement noise in RSS and AOA data causes the estimation inaccuracy of a target location. In order to improve the localization accuracy, Newton method is applied to hybrid localization model based objective function that denotes the amount of estimation error. The optimal solution of a target location is acquired through the iteration process based on hybrid localization model and Newton method. Some simulation results demonstrate the effectiveness of our proposed scheme.

Index Terms—Localization, received signal strength, angle of arrival, optimization, Newton method.

The authors are with the department of electrical and computer engineering, Sungkyunkwan University, Suwon, Korea (e-mail: lhw2065@skku.edu, naman2001@skku.edu, khyou@skku.edu).


Cite: Hyukwoo Lee, Kyunghyun Lee, and Kwanho You, "Optimal Solution for Localization of a Target Using RSS-AOA Measurements," International Journal of Materials, Mechanics and Manufacturing vol. 7, no. 1, pp. 59-62, 2019.

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