Abstract
In this paper, we present a robust and fast computational algorithm for estimating the spreading function of multipath CDMA wireless communication channels in multi-user Direct Sequence Spread Spectrum (DSSS) communication systems. Transmission channels spread the message signals in time and frequency and are typically modeled as random, time-varying systems. The proposed algorithm is to provide a time-frequency dependent windows that can be computed priori to estimate the spreading function of multipath wireless communications channels. Computing such windows priori at the receiver will reduce a significant amount of computational load and to improve the previous proposed channel estimation work. It is shown that the estimation of the parameters of such models is possible by means of the spreading function which is obtained from the discrete time-frequency evolutionary kernel of the received signal using the discrete evolutionary transformation DET.
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