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: Estimation of wideband time varying channels

In this thesis, we face the problem of estimating correctly the channel in a communication link. In general, the channel communication is time varying and frequency selective, which produces distortions in the data transmitted, reducing the transmission speed. For correcting these distortions is necessary to have an accurate estimation of the channel and then to apply corrective procedures based on this estimation. We make use of a superimposed training (ST) sequence which is added to the information data, besides, we represent the channel communication as the weighted sum of a set of functions, which conform a basis. This basis is dependent of channel characteristics known a priori such as maximum Doppler frequency, shape of the transmitter and receiver filters, etc. Following this line, the channel estimated has less discrepancy with the real channel, besides the mathematical operations due to this estimation is reduced considerably respect to other ways of thought.