Hybrid Particle Swarm Optimization for Multi-Sensor Data Fusion

Hybrid Particle Swarm Optimization for Multi-Sensor Data Fusion

A hybrid particle swarm optimization (PSO), able to overcome the large-scale nonlinearity or heavily correlation in the data fusion model of multiple sensing information, is proposed in this paper. In recent smart convergence technology, multiple similar and/or dissimilar sensors are widely used to...

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Bibliographic Details
Main Authors: Hyunseok Kim, Dongjun Suh
Format: Article
Language:English
Published: MDPI AG 2018-08-01
Series:Sensors
Subjects:
multi-sensor system
multi-sensor information fusion
particle swarm optimization
sensor data fusion algorithm
distributed intelligence system
Online Access:http://www.mdpi.com/1424-8220/18/9/2792

Internet

http://www.mdpi.com/1424-8220/18/9/2792

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