Channel characterization and robust tracking for diversity reception over time-variant off-body wireless communication channels

Authors:
Patrick Van Torre;Luigi Vallozzi;Hendrik Rogier;Marc Moeneclaey;Jo Verhaevert
Affiliations:
Information Technology Department, Ghent University, Ghent, Belgium and Hogeschool Gent, INWE Department, Gent, Belgium;Information Technology Department, Ghent University, Ghent, Belgium;Information Technology Department, Ghent University, Ghent, Belgium;Department of Telecommunications and Information Processing, Ghent University, Ghent, Belgium;Hogeschool Gent, INWE Department, Gent, Belgium
Venue:
EURASIP Journal on Advances in Signal Processing - Special issue on robust processing of nonstationary signals
Year:
2010

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Abstract

In the 2.45GHz band, indoor wireless off-body data communication by a moving person can be problematic due to time-variant signal fading and the consequent variation in channel parameters. Off-body communication specifically suffers from the combined effects of fading, shadowing, and path loss due to time-variant multipath propagation in combination with shadowing by the human body. Measurements are performed to analyze the autocorrelation, coherence time, and power spectral density for a person equipped with a wearable receive system moving at different speeds for different configurations and antenna positions. Diversity reception with multiple textile antennas integrated in the clothing provides a means of improving the reliability of the link. For the dynamic channel estimation, a scheme using hard decision feedback after MRC with adaptive low-pass filtering is demonstrated to be successful in providing robust data detection for long data bursts, in the presence of dramatic channel variation.