Ensemble learning particle swarm optimization for real-time UWB indoor localization

Ensemble learning particle swarm optimization for real-time UWB indoor localization

Abstract This paper presents an ensemble learning particle swarm optimization (ELPSO) algorithm for real-time indoor localization based on ultra-wideband (UWB). Indoor localization problem can be formulated as an optimization problem to predict the target. The proposed algorithm expands the original...

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Bibliographic Details
Main Authors: Xufen Cai, Long Ye, Qin Zhang
Format: Article
Language:English
Published: SpringerOpen 2018-05-01
Series:EURASIP Journal on Wireless Communications and Networking
Subjects:
Particle swarm optimization (PSO)
Ensemble learning (EL)
Ultra-wideband (UWB)
Indoor localization
Online Access:http://link.springer.com/article/10.1186/s13638-018-1135-0

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