Multi-equalization a powerful adaptive filtering for time varying wireless channels

We propose and analyze a new equalization architecture which uses several equalizers having different structures that perform in parallel. Thus, for this technique, the received signal is filtered by all used equalizers. Then, a selection module chooses the "best" equalized signal based on an appropriate criterion. This scheme allows us to take advantage of several equalization architectures. For a time varying channel with fluctuations of the delay profile and changes in the rapidity of Doppler fading rates, multi-equalization becomes very profitable. In fact, during such communications, channel characteristics vary and so the best equalizer structure to use changes from one moment to the next. The overall performance analysis of the proposed equalization technique over Stanford University interim (SUI) channels was performed. Simulation results show the efficiency of the proposed multi-equalization technique. Error performances of the multi-equalizer combining three different equalizers are significantly better than those of each equalizer taken separately. The proposed strategy permits particularly important performance improvements with some communication scenarios combining either long and short echoes or a variation of fading rates.