Wireless Detection System for Home and Environment Monitoring
The UCL Department of Electronic and Electrical Engineering is delighted to announce that the BEAMS Knowledge Transfer and Enterprise Board and the Vice-Provost (Enterprise) have given a prestigious Enterprise Award to the project "A Software Defined Wireless Detection System for Home and Environment Monitoring" led by Dr Karl Woodbridge. This research will be carried out in close collaboration with the related activity in the Department of Crime Science and Security led by Dr. Kevin Chetty.
The ability to detect, track and monitor individuals or vehicles/vessels using a low-cost technology is directly applicable to many situations. Following on from the EPSRC funded work we have now developed a laboratory system which removes the previous requirement for use of a relatively costly and complex radar receiver. The system now incorporates a lightweight commercial off the shelf (COTS) based software defined radio receiver which can easily be reconfigured to operate in different frequency bands for future proofing. We also have developed advanced motion detection cross-correlation processing and interference removal algorithms to obtain target detection even in scenarios with high noise levels and clutter. The software defined wireless detection system is believed to be the first reported and UCL is one of the world leaders in the wireless detection field.
Two key application areas will be targeted:
Home: With the rapid roll out of wireless systems, there is increasing interest in the possibility of using wireless signals to monitor domestic situations. This could range from home security perimeter monitoring to health care monitoring for vital signs, or the presence or absence of patients or carers.
Environment: We will specifically look at this in the context of off-shore platform perimeter and operations monitoring. Particularly this would focus on oil rigs and wind farms which are large and growing Industries. There is also the possibility of using WiFi enabled mobile phone signals to assist in locating survivors in disaster recovery using this technology. This could open a large international market and is an option we will consider largely in future planning since some technical challenges would need to be addressed.