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Ultra Wideband Indoor Positioning System based on Artificial Intelligence Techniques
- Source :
- IRI
- Publication Year :
- 2020
- Publisher :
- IEEE, 2020.
-
Abstract
- High-precision indoor positioning has nowadays emerged as a critical function for many applications. However, many existing indoor positioning systems either fail to achieve a high positioning accuracy or are very easily affected by indoor environments composed of many obstacles, preventing them from satisfying many application requirements. Ultra wideband (UWB) has recently drawn extensive attention in the field of indoor positioning due to its great ability to achieve high ranging and localization accuracy while minimizing the effect of multipath interference. Meanwhile, advanced artificial intelligence and signal processing techniques have been explored to improve the precision and performance of indoor positioning system. In this paper, a high-precision UWB indoor positioning system integrating artificial intelligence and signal processing techniques is designed. And field tests are also conducted to validate the design of the system.
- Subjects :
- Signal processing
Multipath interference
Computer science
business.industry
Ultra-wideband
020206 networking & telecommunications
Ranging
02 engineering and technology
Kalman filter
Radio navigation
Field (computer science)
Indoor positioning system
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
Artificial intelligence
business
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2020 IEEE 21st International Conference on Information Reuse and Integration for Data Science (IRI)
- Accession number :
- edsair.doi...........cd9b4e50d00c6ea2ad069299a57d5727