Equalization of a satellite communication channel by the S-PARAFAC Volterra model

Abstract

Communication channels are digital transmission tools heavily exposed to a variety of sources of disturbance such as wind, rain … Despite all these circumstances, in our day, very high transmission rates are reached. The equalization phase ensures good transmission within these channels. Equalizers are digital filters designed to adaptively track channel variations for a very low computing cost. The adaptation is done on the flow of information, using statistical knowledge a priori on the data emitted. To remedy the long-distance communication problems such as attenuation of the signal, the satellite type transmission channels is preferred. This paper deals with the modeling of a 3-order satellite communication channel also the identification of its equalizer using the S-PARAFAC Volterra model and the Alternating Recursive Least Squares (ARLS) algorithm.