Lyman, R J; Sikora, Adam
In mobile radio, fading-envelope prediction can improve the performance of adaptive modulation techniques that require up-to-date channel-state information for optimal performance. We show how to compute the minimum mean squared prediction error of a mobile-radio fading envelope modeled as a stationary, bandlimited process arising from a diffuse set of local scatterers. For bandlimited processes, it is difficult to solve for the Wiener predictor using the usual spectral-factorization approach....[Show more]
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