Channel Models A Tutorial1 (original) (raw)
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Methods for modeling of specified and measured multipath power-delay profiles
IEEE Transactions on Vehicular Technology, 2002
In this paper, five fundamental methods are proposed to model the multipath power-delay profile of frequency-selective indoor and outdoor wireless channels. Three of them are new, and the other two are well known, but their performance, however, has not been studied in detail up until now. All procedures are universally valid so that they can be applied to any specified or measured multipath power-delay profile. The performance of the proposed methods is investigated with respect to important characteristic quantities such as the frequency correlation function (FCF), average delay, and delay spread. The method found to perform best is the so-called-norm method (LPNM). This procedure is applied to measurement data of multipath power-delay profiles collected in different propagation environments. It is shown that the realization complexity of tapped-delay line-based simulation models for fading channels can be reduced considerably by using the LPNM. This is a great advantage for the development and specification of channel models for future wireless systems. Index Terms-Deterministic channel modeling, mobile radio channels, multipath channels, multipath power-delay profile, tapped-delay line model.
This deliverable describes WINNER II channel models for link and system level simulations. Both generic and clustered delay line models are defined for selected propagation scenarios. Disclaimer: The channel models described in this deliverable are based on a literature survey and measurements performed during this project. The authors are not responsible for any loss, damage or expenses caused by potential errors or inaccuracies in the models or in the deliverable.
A multipath channel model for mobile-radio communications
… , 1992. Proceedings, PIMRC'92., Third IEEE …, 1992
A model for the mobile radio channel is proposed that is intended to apply to wideband signals in the 900 MHz band. The model is specified by a two-variable impulse response h,(t), where x represents the location of the receiver. The model consists of two submodels, one describing the direct line-of-sight path, and the other the signal that reaches the receiver over simple reflections. This geometric model is spatially stationary but time-invariant. Time variation is the result of the receiver's motion that alters the point z. Moreover the model is based on physical reasoning and places no restriction on the transmitted signal.
A MATLAB R -based object-oriented implementation of a multipath fading simulator is presented. The simulator uses the interpolated filtered Gaussian noise approach to emulate the time selectivity of the channel (i.e. the Doppler spreading), and a bandlimited representation of the channel to efficiently emulate the frequency selectivity of the channel (i.e. the time spreading).
A Model for the Suburban Multipath Channel
In 2002 the German Aerospace Centre (DLR) performed a measurement campaign of the land mobile multipath channel. From this data a channel model was derived that is synthesising the measured channel impulse response. It allows the realistic simulation of the multipath channel by approximating every single reflection. This model includes time variant reflectors approaching and receding in dependency of the azimuth and elevation of the satellite. All the signal processing had been realised independently of the transmitted signal. Therefore the usability for both, navigation systems (GPS as well as GALILEO) and wideband communication systems is given.
D1.2 Channel and Propagation Models
2021
This deliverable gives the results of the ARIADNE project's Task 1.2: Channel measurement<br> and modelling. The results herein comprise two years of work on channel measurement<br> setups, channel measurements, subsequent channel models, line-of-sight channel models for<br> gas and rain attenuation, reconfigurable intelligent surface channel modelling, ray tracing<br> models and the related results. As a whole, D1.2 gives the most of the channel models<br> required for subsequent modelling and analysis in other tasks of ARIADNE project.