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

Farah Mahdi Yaseen Al Sallami

doi:10.1109/INFOCOMAN.2016.7784242

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

Farah Mahdi Yaseen Al Sallami

Research output: Contribution to conference › Paper › peer-review

10 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 language	English
Pages	197-200
Number of pages	4
DOIs	https://doi.org/10.1109/INFOCOMAN.2016.7784242
Publication status	Published - 15 Dec 2016
Event	2016 6th International Conference on Information Communication and Management (ICICM) - Hatfield, United Kingdom Duration: 29 Oct 2016 → 31 Oct 2016 Conference number: 6th https://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7764616 http://www.icicm.org/com.html

Conference

Conference	2016 6th International Conference on Information Communication and Management (ICICM)
Abbreviated title	ICICM
Country/Territory	United Kingdom
City	Hatfield
Period	29/10/16 → 31/10/16
Internet address	https://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7764616 http://www.icicm.org/com.html

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10.1109/INFOCOMAN.2016.7784242

Cite this

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abstract = "This paper uses visible light communication (VLC)to perform indoor positioning and tracking. VLC utilizes thedata transmitted by light emitting diodes (LEDs) which areused for illumination. MiniMax filter is proposed to performstate estimation. Design parameters of MiniMax filter aredriven as the game equilibrium solution of zero sum game.Estimation performance of this filter is compared with theconventional state estimator Kalman filter. MATLABsimulator is used to explore the relative performance of bothfilters. Results show that MiniMax filter outperform Kalmanfilter in the existence adversary disturbance noise. While in theabsence of adversary disturbance noise two filters have similarperformance.",

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N2 - This paper uses visible light communication (VLC)to perform indoor positioning and tracking. VLC utilizes thedata transmitted by light emitting diodes (LEDs) which areused for illumination. MiniMax filter is proposed to performstate estimation. Design parameters of MiniMax filter aredriven as the game equilibrium solution of zero sum game.Estimation performance of this filter is compared with theconventional state estimator Kalman filter. MATLABsimulator is used to explore the relative performance of bothfilters. Results show that MiniMax filter outperform Kalmanfilter in the existence adversary disturbance noise. While in theabsence of adversary disturbance noise two filters have similarperformance.

AB - This paper uses visible light communication (VLC)to perform indoor positioning and tracking. VLC utilizes thedata transmitted by light emitting diodes (LEDs) which areused for illumination. MiniMax filter is proposed to performstate estimation. Design parameters of MiniMax filter aredriven as the game equilibrium solution of zero sum game.Estimation performance of this filter is compared with theconventional state estimator Kalman filter. MATLABsimulator is used to explore the relative performance of bothfilters. Results show that MiniMax filter outperform Kalmanfilter in the existence adversary disturbance noise. While in theabsence of adversary disturbance noise two filters have similarperformance.

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DO - 10.1109/INFOCOMAN.2016.7784242

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ER -

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

Abstract

Conference

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