Ku-band Channel Signal Generator Based on a ...

Some wireless channel models based on probability density functions have been proposed, including models based on Markov chains. However, they are limited to a certain number of perturbations. This paper proposes a methodology based in a Ku-band signal behavior which is classified in three cases: ascendant, descendent and constant. Samples are classified in these cases so their conditional probabilities are analyzed in order to find a fit a pdf and to extract its statistical parameters which are the model itself. From this information, a new signal was generated and their second order statistics are compared with the ones from the original signal to validate the created model. The analyzed signal was extracted from a measurement campaign done in Mexico.