Investigators: Ameen J. Ali, Simon Cotton & William Scanlon
The main aim of this project is to investigate the effect of pedestrian movements on wireless body-centric communications systems
in populated environments and examine possible mitigation techniques.
The work features a novel narrowband wireless bodyworn measurement receiver system that makes synchronized RSSI measurements
at two frequencies (2.45 and 5.8 GHz bands) simultaneously.
Wireless Body Area Networks (WBAN) have illimitable applications such as location tracking, ambulatory physiological monitoring, collaborative mood-sensing etc. spanning commercial, military and medical sectors. Diversity combining techniques help mitigate some deleterious-effects of human body-shadowing and time-varying fading to provide good signal quality and reliability.
Human-activity such as breathing, movements of personnel, equipment etc.
in the vicinity of a wireless wearable communications system results in multipath perturbations and temporal fading effects in the received signal characteristics.
Spatial-diversity proved to be a strong-candidate to overcome these effects.
The figure on the left shows that selection combining two-branch diversity gain values improved as the human-traffic increased in the locality
The following points were observed from the measurement-campaign and analysis in the course of this study:
This project is funded by a School of Electronics, Electrical Engineering & Computer Science Special Research Scholarship.