Papers

3

Total Citations

141

H-Index

3

About

Andreas Parr is a leading researcher in radio frequency identification (RFID) systems, with a specific focus on advanced localization and synthetic aperture techniques. His work bridges the critical gap between simple object identification and precise spatial awareness, a key enabler for the Internet of Things and smart logistics. Parr’s most influential contribution is his pioneering work on inverse synthetic aperture radar (ISAR) for moving RFID tags, a method that transforms standard UHF RFID readers into powerful localization tools. This foundational paper, with 99 citations, demonstrates how to estimate the position of tags as they pass through read points, solving a core challenge in supply chain management. He has since extended this concept to create "smart warehouses," where stocktaking robots use synthetic aperture localization to generate 3D product maps and automate inventory—a vision detailed in his 2021 work. Further refining these methods, Parr has compared advanced phase-based, near-field algorithms like MUSIC and beamforming for 3D tag localization. Through his research, Andreas Parr is not just tracking objects; he is mapping the physical world in real-time, providing the spatial intelligence needed for the fully automated, data-driven warehouses of the future.

Research Focus

Key Achievements

3
H-Index
3
Papers
141
Total Citations
47
Avg Citations/Paper
🏆 Most Cited Paper
Inverse SAR approach for localization of moving RFID tags
99 citations · 2013
📈 Most Prolific Year: 2013 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Friedrich-Alexander-Universität Erlangen-Nürnberg

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago