Title :
Statistical analysis of small-scale channel parameters for ultra wideband radio channels in body-centric wireless networks
Author :
Bari, Raffaele Di ; Abbasi, Qammer Hussain ; Alomainy, Akram ; Hao, Yang
Author_Institution :
Sch. of Electron. Eng. & Comput. Sci., Queen Mary, Univ. of London, London, UK
Abstract :
In this paper, the statistical distribution of amplitude of the ultra wideband (UWB) radio channel for body-centric wireless communications is being investigated by considering a large number of on-body radio links. Amplitude distribution is investigated by using Kolmogorov-Smirnov and Akaike criterion. Analysis demonstrated that above the 92% of the times the channel amplitudes (which includes ground reflections as well) for the on-body propagation, still have lognormal distribution. Apart from amplitude distribution statistics, the power delay profile and some distribution parameters are being estimated for line-of-sight (LOS) scenario as well. Based on the results presented in this paper, clear recommendations are given for best statistical distribution for accurate UWB on-body radio channel modeling.
Keywords :
radiowave propagation; statistical distributions; ultra wideband communication; wireless channels; Akaike criterion; Kolmogorov-Smirnov; UWB; amplitude distribution statistics; body-centric wireless networks; channel amplitudes; line-of-sight scenario; lognormal distribution; power delay profile; small-scale channel parameters; statistical analysis; statistical distribution; ultrawideband radio channels; Antenna measurements; Channel models; Delay; Fitting; Indexes; Receivers; Ultra wideband technology; On-body radio channel statistical analysis; small-scale fading; ultra wideband;
Conference_Titel :
Antennas and Propagation (APSURSI), 2011 IEEE International Symposium on
Conference_Location :
Spokane, WA
Print_ISBN :
978-1-4244-9562-7
DOI :
10.1109/APS.2011.5996731
