Low Power Indoor Positioning Methods

The project aims to develop a low power low foot-print mobile positioning technology that operates seamlessly both indoors and in urban areas.

The technology is based on software algorithms that could run on both mobile device and/or the cloud. These algorithms dynamically sense any Radio Frequency (RF) sources and map these instantaneously in a dynamic database that could be used for positioning in real-time. These are then integrated with any sensors that might be available on a device (if any). The technology is being developed for use in embedded and wireless systems including smart phones, wearable devices etc

Principal Investigator: 

Professor Tughrul Arslan

Research Institutes: 

  • Integrated Micro and Nano Systems

Research Themes: 

  • Smart Wireless Devices and Systems

Last modified: 

Monday, March 9, 2015 - 09:33