Title :
Optimal mean-square prediction of the mobile-radio fading envelope
Author :
Lyman, Raphael J.
Author_Institution :
Klipsch Sch. of Electr. & Comput. Eng, New Mexico State Univ., Las Cruces, NM, USA
fDate :
3/1/2003 12:00:00 AM
Abstract :
Long-range prediction of the mobile-radio fading envelope is an enabling technology for many fading compensation approaches. Because the fading envelope is well modeled as a bandlimited process, it has special predictability properties. In this paper, we find a linear predictor that is optimal in the mean-square sense when the predictor impulse response is energy constrained. This solution may be used to determine the minimum mean squared error of a prediction based on past values that are corrupted with estimation errors.
Keywords :
bandlimited communication; least mean squares methods; mobile radio; bandlimited process; fading compensation approaches; impulse response; linear predictor; long-range prediction; mean-square sense; minimum mean squared error; mobile-radio fading envelope; optimal mean-square prediction; predictability properties; Estimation error; Fading; Fourier transforms; Frequency; Gaussian noise; Land mobile radio; Polynomials; Power engineering computing; Predictive models; Random processes;
Journal_Title :
Signal Processing, IEEE Transactions on
DOI :
10.1109/TSP.2002.808117
