Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 31 - 43 |
| Number of pages | 12 |
| Journal | International Journal of Satellite Communications and Networking |
| Volume | 26 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 1 Jan 2008 |
Keywords
- fade mitigation
- satellite communication
- fade predictor