2016
DOI: 10.2528/pierb15123101
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Categorized Uwb on-Body Radio Channel Modeling for Wbans

Abstract: Abstract-A categorized radio channel modeling for wireless ultra-wideband on-body body area networks is discussed. Measurements in an anechoic chamber at fourteen antenna locations are conducted in a 2-8 GHz band. The dipole and double loop antenna types are used. Six link classes are formed based on the antenna spots on the torso, head or limb. The limb-limb and the head-limb links have the lowest and highest path losses, respectively. The head-limb links have the shortest channel impulse responses (CIRs) and… Show more

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Cited by 15 publications
(19 citation statements)
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“…The paper extends the knowledge on UWB off-body channels reported in a static case in [6,7,8] and dynamic case in [8,9]. The work is related to a larger measurement campaign, whose other results are reported in, e.g., [7,9,10,12].…”
Section: Introductionsupporting
confidence: 57%
“…The paper extends the knowledge on UWB off-body channels reported in a static case in [6,7,8] and dynamic case in [8,9]. The work is related to a larger measurement campaign, whose other results are reported in, e.g., [7,9,10,12].…”
Section: Introductionsupporting
confidence: 57%
“…Wireless body area network (WBAN) channel characteristics have been under an intensive study during the recent years. Several channel models, measurement campaigns and propagation simulations have been realized to get deeper understanding of the channel propagation in the vicinity or even inside a human body [1][2][3][4][5][6][7][8][9][10].…”
Section: Introductionmentioning
confidence: 99%
“…In [16], it was noted that in body area channels some other distribution may model it better. We normalized the empirical PL points with respect to the fitting line in Figs.…”
Section: B Path Loss Modelmentioning
confidence: 99%
“…We normalized the empirical PL points with respect to the fitting line in Figs. 4 and 5 and fitted the normalized PLs with 17 distributions as was done in [16]. The fittings were ranked by using the second order Akaike information criteria AIC c expressed as [18] …”
Section: B Path Loss Modelmentioning
confidence: 99%
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