Estimating probabilities under the three-parameter gamma distribution using composite sampling
Computational Statistics & Data Analysis
Modeling the ultra-wideband outdoor channel: model specification and validation
IEEE Transactions on Wireless Communications
MIMO-OFDM Wireless Communications with MATLAB
MIMO-OFDM Wireless Communications with MATLAB
Ultrawideband Channel Modeling on the Basis of Information-Theoretic Criteria
IEEE Transactions on Wireless Communications
The ultra-wide bandwidth indoor channel: from statistical model to simulations
IEEE Journal on Selected Areas in Communications
Impulse response modeling of indoor radio propagation channels
IEEE Journal on Selected Areas in Communications
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When the wireless signal propagates between the transmitter (Tx) and the receiver (Rx), it will undergoes many variations as diffraction, scattering or reflecting due to the presence of many obstacles along the propagation area. The objective of channel modeling is to retrieve how the signal can be distorted or attenuated. In this paper, a statistical model was established to characterize indoor Ultra WideBand channel, based on measurements campaign which has been performed within the whyless.com project by the IMST group. The amplitude of narrowband channel was found to be well-fitted by Rayleigh or Rice distribution depending on the obstruction of the line of sight or not. Herein, the adopted approach consists to model separately the shadowing and the deep fading that occur when the Tx---Rx distance varies within large or small area. For the shadow fading a twofold exponential decay was suggested, providing excellent fit to the estimated averaged power delay profile. For the Small scale fading, the proposed model employs the Generalized Gamma distribution $$(\text{ G }\varGamma \text{ D })$$(GΓD) as a flexible model including many of well-known distributions as special cases. The process of modeling was presented finally and validated by comparing simulated and experimented channel parameters.