Papers
2
Total Citations
7
H-Index
2
About
Pau Caldero is a researcher advancing the frontiers of industrial automation through surface acoustic wave (SAW) radio frequency identification (RFID) technology. His primary research areas include asset localization, 3D tag positioning, and multi-tag interference management within Industrial Internet of Things (IIoT) ecosystems. Caldero’s major contributions center on developing innovative approaches to overcome the limitations of conventional RFID systems. Notably, his 2021 work on “High-Accuracy 3D SAW RFID Tag Localization Using a Multi-Antenna Mobile Robot Based Synthetic Aperture Approach” (4 citations) introduced a novel method for precise asset tracking by combining mobile robotics with synthetic aperture techniques. Building on this, his 2022 paper on “SAW RFID Tag Spatial Division Multiple Access Based on 3D Reflector Response Localization Using a Wideband Holographic Approach” (3 citations) addressed the critical challenge of simultaneous tag interrogation, proposing a holographic method to enable spatial division multiple access. These contributions are particularly impactful for logistics and process control, where accurate, real-time identification and localization of assets are essential. Caldero’s work represents a significant step toward more efficient, automated industrial environments, demonstrating how SAW RFID can be leveraged for high-accuracy, multi-tag scenarios in complex IIoT applications.
Research Focus
Key Achievements
Top Papers
- 1
- 2