Solving Sensor Identification Problem Without Knowledge of the Ground Truth Using Replicator Dynamics

被引:2
|
作者
Yazidi, Anis [1 ]
Pinto-Orellana, Marco Antonio [2 ]
Hammer, Hugo [1 ]
Mirtaheri, Peyman [2 ]
Herrera-Viedma, Enrique [3 ,4 ]
机构
[1] Oslo Metropolitan Univ, Dept Comp Sci, N-0166 Oslo, Norway
[2] Oslo Metropolitan Univ, Dept Mech Elect & Chem Engn, Oslo, Norway
[3] Univ Granada, Dept Comp Sci & Artificial Intelligence, Granada 18070, Spain
[4] King Abdulaziz Univ, Fac Engn, Dept Elect & Comp Engn, Jeddah 21589, Saudi Arabia
关键词
Sociology; Statistics; Reliability theory; Sensor fusion; Convergence; Mathematical model; Distributed learning; scaled replicator dynamics; sensor fusion; JURY THEOREM; FUSION; GAME; ESTIMATORS; SYSTEMS;
D O I
10.1109/TCYB.2019.2958627
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this article, we consider an emergent problem in the sensor fusion area in which unreliable sensors need to be identified in the absence of the ground truth. We devise a novel solution to the problem using the theory of replicator dynamics that require mild conditions compared to the available state-of-the-art approaches. The solution has a low computational complexity that is linear in terms of the number of involved sensors. We provide some sound theoretical results that catalog the convergence of our approach to a solution where we can clearly unveil the sensor type. Furthermore, we present some experimental results that demonstrate the convergence of our approach in concordance with our theoretical findings.
引用
收藏
页码:16 / 24
页数:9
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