A Novel Localization Algorithm for Internet of Things in 3D
- Title
- A Novel Localization Algorithm for Internet of Things in 3D
- Author
- 김동우
- Keywords
- Internet of Things(IOT); time of arrival(TOA); root mean square error(RMSE); Cramér-Rao lower bound (CRLB)
- Issue Date
- 2015-10
- Publisher
- IEEE
- Citation
- 2015 International Conference on Information and Communication Technology Convergence (ICTC), Page. 237-241
- 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 Cram´er- Rao Lower Bound (CRLB) and show its performance through simulation experiments using MATLAB.
- URI
- http://ieeexplore.ieee.org/document/7354537/https://repository.hanyang.ac.kr/handle/20.500.11754/101731
- ISBN
- 978-1-4673-7116-2
- DOI
- 10.1109/ICTC.2015.7354537
- Appears in Collections:
- COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > ELECTRICAL ENGINEERING(전자공학부) > Articles
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