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A Visible Light Communication based predictive system for the height and location estimation of an obstacle

Chakraborty, A and Singh, A and Bohara, VA and Srivastava, A (2020) A Visible Light Communication based predictive system for the height and location estimation of an obstacle. In: 2020 IEEE International Conference on Advanced Networks and Telecommunications Systems, ANTS 2020, 14-17 Dec 2020, New Delhi; India.

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Official URL: https://doi.org/10.1109/ANTS50601.2020.9342785


This paper presents a visible light communication (VLC) - based predictive system for estimating an obstacle's height and location in an indoor environment. Two types of indoor environments having one and four LED's respectively are considered for the simulation. In each of the above environments, the system is first simulated using an infinitely thin obstacle and then using an obstacle having a radius of 0.05m. Linear Regression is applied to the results to develop a predictive algorithm to obtain the location and height of an obstacle from the received power profile. Finally, the accuracy of the predictive system for each of the above scenarios is also measured. © 2020 IEEE.

Item Type: Conference Paper
Publication: International Symposium on Advanced Networks and Telecommunication Systems, ANTS
Publisher: IEEE Computer Society
Additional Information: The copyright of this article belongs to IEEE Computer Society
Keywords: Light; Location, Indoor environment; Location estimation; Predictive algorithms; Predictive systems; Received power; Visible light communications (VLC), Visible light communication
Department/Centre: Division of Interdisciplinary Sciences > Computational and Data Sciences
Date Deposited: 23 Apr 2021 06:45
Last Modified: 23 Apr 2021 06:45
URI: http://eprints.iisc.ac.in/id/eprint/68244

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