Title :
Channel Characterization for Single- and Multiple-Antenna Wearable Systems Used for Indoor Body-to-Body Communications
Author :
Cotton, Simon L. ; Scanlon, William G.
Author_Institution :
Sch. of Electron., Electr. Eng. & Comput. Sci., Queen´´s Univ. of Belfast, Belfast
fDate :
4/1/2009 12:00:00 AM
Abstract :
In this paper, an analysis of radio channel characteristics for single- and multiple-antenna bodyworn systems for use in body-to-body communications is presented. The work was based on an extensive measurement campaign conducted at 2.45 GHz representative of an indoor sweep and search scenario for fire and rescue personnel. Using maximum-likelihood estimation in conjunction with the Akaike information criterion (AIC), five candidate probability distributions were investigated and from these the kappa- mu distribution was found to best describe small-scale fading observed in the body-to-body channels. Additional channel parameters such as autocorrelation and the cross-correlation coefficient between fading signal envelopes were also analyzed. Low cross correlation and small differences in mean signal levels between potential dual-branch diversity receivers suggested that the prospect of successfully implementing diversity in this type application is extremely good. Moreover, using selection combination, maximal ratio, and equal gain combining, up to 8.69-dB diversity gain can be made available when four spatially separated antennas are used at the receiver. Additional improvements in the combined envelopes through lower level crossing rates and fade durations at low signal levels were also observed.
Keywords :
UHF antennas; indoor communication; maximum likelihood estimation; personal area networks; radiowave propagation; wearable computers; antenna wearable systems; channel characterization; fading signal envelope; frequency 2.45 GHz; indoor body-to-body communications; maximum-likelihood estimation; radio channel characteristic; Autocorrelation; Diversity methods; Diversity reception; Fading; Fires; Maximum likelihood estimation; Personnel; Probability distribution; Receiving antennas; Signal analysis; Body-to-body propagation; bodyworn antennas; channel characterization; spatial diversity; wireless personal area networks;
Journal_Title :
Antennas and Propagation, IEEE Transactions on
DOI :
10.1109/TAP.2009.2014576