Title :
A statistical model for the factory radio channel
Author :
Yegani, Parviz ; McGillem, Clare D.
Author_Institution :
IBM Networking Syst., Research Triangle Park, NC, USA
fDate :
10/1/1991 12:00:00 AM
Abstract :
A statistical model, based on experimental data, is presented to characterize the multipath propagation medium in typical manufacturing environments. The statistical behavior of the medium is described by a time-varying impulse response which includes the distribution of the parameters of the channel such as the gain, the interarrival time, and the number of paths. The resolvable components in a number of experimentally measured pulse responses of indoor factory radio channels were used to estimate the channel statistics. The interarrival times of the signals were modeled by the Weibull distribution. A model for the distribution of signals was presented using the modified beta distribution. The path gain coefficients were represented using the Rayleigh, Rician, or log-normal distributions. The model for the factory channel is flexible enough to fit the data for other indoor sites by changing the parameters of the factory channel appropriately relative to the size, topography, and other structural features of the site
Keywords :
fading; radiocommunication; radiowave propagation; statistical analysis; telecommunication channels; Rayleigh fading; Rician fading; Weibull distribution; channel statistics; indoor factory; interarrival times; log-normal distributions; manufacturing environments; modified beta distribution; multipath propagation medium; path gain coefficients; radio channel; statistical model; time-varying impulse response; Distribution functions; Fading; Intelligent networks; Light scattering; Production facilities; Pulse measurements; Rayleigh scattering; Statistical distributions; Statistics; Virtual manufacturing;
Journal_Title :
Communications, IEEE Transactions on