Game theory MiniMax filter design for indoor positioning and tracking system using visible light communications

Research output: Contribution to conferencePaper

7 Citations (Scopus)

Abstract

This paper uses visible light communication (VLC)
to perform indoor positioning and tracking. VLC utilizes the
data transmitted by light emitting diodes (LEDs) which are
used for illumination. MiniMax filter is proposed to perform
state estimation. Design parameters of MiniMax filter are
driven as the game equilibrium solution of zero sum game.
Estimation performance of this filter is compared with the
conventional state estimator Kalman filter. MATLAB
simulator is used to explore the relative performance of both
filters. Results show that MiniMax filter outperform Kalman
filter in the existence adversary disturbance noise. While in the
absence of adversary disturbance noise two filters have similar
performance.
Original languageEnglish
Pages197-200
Number of pages4
DOIs
Publication statusPublished - 15 Dec 2016
Event2016 6th International Conference on Information Communication and Management (ICICM) - Hatfield, United Kingdom
Duration: 29 Oct 201631 Oct 2016
Conference number: 6th
https://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7764616
http://www.icicm.org/com.html

Conference

Conference2016 6th International Conference on Information Communication and Management (ICICM)
Abbreviated titleICICM
CountryUnited Kingdom
CityHatfield
Period29/10/1631/10/16
Internet address

Fingerprint

Game theory
Kalman filters
Light emitting diodes
Lighting
Visible light communication

Cite this

Al Sallami, F. M. Y. (2016). Game theory MiniMax filter design for indoor positioning and tracking system using visible light communications. 197-200. Paper presented at 2016 6th International Conference on Information Communication and Management (ICICM), Hatfield, United Kingdom. https://doi.org/10.1109/INFOCOMAN.2016.7784242

Game theory MiniMax filter design for indoor positioning and tracking system using visible light communications. / Al Sallami, Farah Mahdi Yaseen.

2016. 197-200 Paper presented at 2016 6th International Conference on Information Communication and Management (ICICM), Hatfield, United Kingdom.

Research output: Contribution to conferencePaper

Al Sallami, FMY 2016, 'Game theory MiniMax filter design for indoor positioning and tracking system using visible light communications' Paper presented at 2016 6th International Conference on Information Communication and Management (ICICM), Hatfield, United Kingdom, 29/10/16 - 31/10/16, pp. 197-200. https://doi.org/10.1109/INFOCOMAN.2016.7784242
Al Sallami FMY. Game theory MiniMax filter design for indoor positioning and tracking system using visible light communications. 2016. Paper presented at 2016 6th International Conference on Information Communication and Management (ICICM), Hatfield, United Kingdom. https://doi.org/10.1109/INFOCOMAN.2016.7784242
Al Sallami, Farah Mahdi Yaseen. / Game theory MiniMax filter design for indoor positioning and tracking system using visible light communications. Paper presented at 2016 6th International Conference on Information Communication and Management (ICICM), Hatfield, United Kingdom.4 p.
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