Adaptive methods for equalization of rapidly fading channels

Basis expansion ideas are employed in order to equalize frequency-selective, rapidly fading channels. It is shown that for certain fading channels (like the mobile radio channel), the coefficients' time variation can be modeled as a combination of a small number of complex exponentials, which leads to novel adaptive and decision-feedback equalization algorithms. By interpreting ideas from cyclostationary signal analysis, batch and recursive methods are also developed for estimating the frequencies of the exponentials. Finally, some illustrative simulations are presented.<
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