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...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2018-08-01
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Series: | Sensors |
Subjects: | |
Online Access: | http://www.mdpi.com/1424-8220/18/9/2792 |