Use this URL to cite or link to this record in EThOS:
Title: Wireless channel characterisation and modeling for wearable communications
Author: Cotton, S. L.
ISNI:       0000 0001 3390 1452
Awarding Body: Queen's University Belfast
Current Institution: Queen's University Belfast
Date of Award: 2008
Availability of Full Text:
Access from EThOS:
An increasing demand for wearable radio devices designed to operate in wireless body and personal area networks has raised the awareness of the human body factors which can affect received signal strength in bodyworn applications. These factors can be broadly categorised as antenna-body interaction and human body influences upon propagation characteristics. Based upon an extensive narrowband measurement campaign performed in a number of indoor and outdoor environments for both stationary and mobile user states at 868 MHz and 2.45 GHz, this Thesis investigates the performance of these channels using first and second order statistics, obtained using inference, and time series analysis. The mitigation of deleterious human body I environmental effects is also investigated using receiver diversity techniques and gain nietrics reported. A novel statistical characterisation of the fading experienced in both on Qnd off-body diversity channels was also performed using purposely derived Nakagami first and second order diversity statistics.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available