Cart (Loading....) | Create Account
Close category search window
 

Channel Decomposition Method for Designing Body-Worn Antenna Diversity Systems

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Gil-Young Lee ; Electr. & Comput. Eng. Dept., Ohio State Univ., Columbus, OH, USA ; Psychoudakis, D. ; Chi-Chih Chen ; Volakis, J.L.

A channel decomposition method is presented to evaluate the diversity performance of on-body UHF antenna systems. The novelty of this method amounts to separating the human body and propagation channel for independent estimation of each contribution. The proposed method can be readily adapted to different channel environments (once the statistics are known) to considerably reduce computation time. This channel decomposition method is adopted herein to evaluate the performance of a diversified UHF body-worn antenna system under a selection diversity scheme. The design process included three human postures (standing, kneeling, and prone) to incorporate a wide range of general human activity for realistic antenna performance. Mounting locations are evaluated and multiple antennas are used to increase communication data throughput. To validate the method, a 4-channel diversity module was fabricated employing selection diversity.

Published in:

Antennas and Propagation, IEEE Transactions on  (Volume:59 ,  Issue: 1 )

Date of Publication:

Jan. 2011

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.