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Ensemble learning particle swarm optimization for real time UWB indoor localization

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Figure

Fig. 1 Comparison of our approach with existing UWB indoorlocalization methods. Most methods use one-step distance calculatingto locate the target directly
Fig. 2 ELPSO pipeline
Fig. 3 System structure. The system consists of active tags, four base stations (A, B, C, and D), a router, a location server, and several displayterminals
Fig. 4 Two-way ranging process. Device A and device B are two DWM1000 modules. Device A initiates ranging requests while device B listensand respond the radio message from device A
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