Title :
Predicting and adapting satellite channels with weather-induced impairments
Author :
Choi, J.P. ; Chan, V.W.S.
Author_Institution :
Lab. for Inf. & Decision Syst., MIT, Cambridge, MA, USA
fDate :
7/1/2002 12:00:00 AM
Abstract :
Efficiency improvements using predictive and adaptive methods over satellite channels with weather-induced impairments are presented. Scintillation and rain attenuation are the two dominant factors for signal fading over satellite-Earth paths at operating frequencies over 10 GHz. We develop statistical and spectral analyses of these processes, and obtain simple linear predictors for received signal attenuation using autoregressive (AR) models. For adaptation, we propose changing signal transmission power, modulation symbol size, and/or code rate as the state of the channel changes. In particular, we introduce a continuous power control and discrete rate control strategy. Quantitative analyses of power consumption and channel capacity indicate that there can be a substantial gain in performance with such adaptive schemes.
Keywords :
adaptive signal processing; autoregressive processes; channel capacity; fading; prediction theory; rain; satellite links; scintillation; spectral analysis; statistical analysis; adaptive methods; autoregressive models; channel capacity; code rate; continuous power control; discrete rate control strategy; linear predictors; modulation symbol size; power consumption; predictive methods; rain attenuation; received signal attenuation; satellite channels; satellite-Earth paths; scintillation; signal fading; signal transmission power; spectral analyses; statistical analyses; weather-induced impairments; Attenuation; Frequency; Modulation coding; Performance analysis; Power control; Predictive models; Rain fading; Satellites; Signal processing; Spectral analysis;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
DOI :
10.1109/TAES.2002.1039399