A Markov chain and quadrature amplitude modulation fading based statistical discrete time model for multi-WSSUS multipath channel

The computation of the tap gains of the discrete time representation of a slowly time varying multipath channel is investigated. The simplest nondegenerate class of processes which exhibits uncorrelated depressiveness in the time delay and Doppler shifts is known as the “wide sense stationary uncorrelated scattering”, (WSSUS) model introduced by Bello (1963). The channel is assumed to be locally WSSUS. Our model presence the quadrature modulation fading simulators (MMFS) form. Assumptions on the multiplicative noise are made to follow Clarke´s (1968) model for flat fading. An extension to multipath is provided by utilizing several fading simulators in conjunction with variable gains and time delays. The multipath extended Clarke´s model resembles QMFS. However, the multiplicative coefficients are claimed to be Rayleigh distributed (extension to Ricean is easily deduced). The result is a closed form solution for tap gains, this was possible by the use of operator commuting with an error bound of 6f_DT². An extension to large area analysis where WSSUS assumption cannot be in force is made possible through the use of a Markov chain. Finally, further comments and figure results are displayed