Models and Predictions of Scattered Radio Waves on Rough Surfaces
Paper in proceedings, 2007

Scattering of radio waves on rough surfaces is investigated using ray tracing techniques, which results in a sinusoidal model with time varying amplitudes. An AR(d) model with nonzero mean is proposed to characterize and predict the time variation of the amplitudes. A covariance sequence based method is proposed to estimate the autoregressive coefficients from the channel observations. An adaptive channel predictor using a Kalman filter is proposed to predict the complex amplitudes of the scattering signal. The proposed method outperforms other sinusoidal modeling based channel predictors and Linear Predictors with single scattering scenarios.

Prediction methods

Adaptive Kalman filtering

Rayleigh channels

Wave propagation

Author

Ming Chen

Chalmers, Signals and Systems, Signalbehandling och medicinsk teknik, Signal Processing

Mats Viberg

Chalmers, Signals and Systems, Signalbehandling och medicinsk teknik, Signal Processing

Stefan Felter

IEEE ICASSP 2007 (Honolulu, Hawaii, USA, 2007)

Vol. 3 785-788

Subject Categories

Other Electrical Engineering, Electronic Engineering, Information Engineering

More information

Created

10/8/2017