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Near‐optimum short‐term fade prediction on satellite links at Ka and V‐bands
Author(s) -
Chambers Andrew P.,
Otung Ifiok E.
Publication year - 2007
Publication title -
international journal of satellite communications and networking
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.388
H-Index - 39
eISSN - 1542-0981
pISSN - 1542-0973
DOI - 10.1002/sat.893
Subject(s) - term (time) , computer science , satellite , ka band , autoregressive model , attenuation , fade , cumulative distribution function , algorithm , mean squared error , communications satellite , remote sensing , statistics , telecommunications , geology , mathematics , physics , probability density function , optics , quantum mechanics , astronomy , operating system
Several short‐term predictors of rain attenuation are implemented and tested using data recorded from a satellite link in Southern England, and a comparison is made in terms of the root‐mean‐square error and the cumulative distribution of under‐predictions. A hybrid of an autoregressive moving average and adaptive linear element predictor is created that makes use of Gauss–Newton and gradient direction coefficient updates and exhibits the best prediction error performance of all prediction methods in the majority of cases. Copyright © 2007 John Wiley & Sons, Ltd.