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A novel localization algorithm for Internet of Things in 3D

Authors
Imtiaz, Ul Haq M.Kim, Dongwoo
Issue Date
Oct-2015
Publisher
Institute of Electrical and Electronics Engineers Inc.
Keywords
Cramér-Rao lower bound (CRLB); Internet of Things (IoT); Root mean square error (RMSE); Time of arrival (TOA)
Citation
International Conference on ICT Convergence 2015: Innovations Toward the IoT, 5G, and Smart Media Era, ICTC 2015, v.2015, pp 237 - 241
Pages
5
Indexed
OTHER
Journal Title
International Conference on ICT Convergence 2015: Innovations Toward the IoT, 5G, and Smart Media Era, ICTC 2015
Volume
2015
Start Page
237
End Page
241
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/20633
DOI
10.1109/ICTC.2015.7354537
ISSN
0000-0000
Abstract
With the increasing demand of smart objects in our everyday life promotes an advance generation of communications under the umbrella of the Internet of Things (IoT). For IoT, location-based service is one of the main service, while localization accuracy is a primary problem. Rather than linearizing the nonlinear cost function, we propose a novel subspace algorithm by using the time of arrival (TOA) measurements. Our propose algorithm provide closed-form solution and is validated to be robust even for large measurement noise, as the dimension awareness and eigenstructure of scalar product matrix is used. We evaluate the proposed algorithm by comparing with Cramér-Rao Lower Bound (CRLB) and show its performance through simulation experiments using MATLAB. © 2015 IEEE.
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ERICA 공학대학 (SCHOOL OF ELECTRICAL ENGINEERING)
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