Predictive self-learning equalization for mobile radio channels: an LMSXRLS comparison
Renato Lopes, Carlos A. F. da Rocha, João Marcos Travassos Romano · 2002
In this work, the applicability of blind equalizers to mobile communication systems is investigated. The equalizing scheme to be used consists of a non-linear IIR predictive structure composed of a cascade of a magnitude and a phase equalizer. The aim is to provide a comparison between the LMS and the RLS techniques implemented in this structure. Simulation results are first presented considering a stationary model of the mobile radio channel. Then, the tracking capability of both algorithms is analysed in a non-stationary context of mobile radio channels.