Abstract | ||
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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 in simulations. |
Year | DOI | Venue |
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2007 | 10.1109/ICASSP.2007.366797 | ICASSP (3) |
Keywords | Field | DocType |
kalman filter,covariance sequence,kalman filters,autoregressive coefficients,radio wave scattering,ray tracing,adaptive kalman filtering,wave propagation,sinusoidal modeling,prediction methods,time varying amplitudes,autoregressive processes,time-varying channels,rough surfaces,radiowave propagation,electromagnetic wave scattering,linear predictors,rayleigh channels,adaptive channel predictor,ray tracing techniques,surface waves,predictive models,rayleigh scattering,fading,surface roughness,wireless communication,time measurement | Telecommunications,Wave propagation,Radio wave,Computer science,Mathematical analysis,Ray tracing (graphics),Artificial intelligence,Scattering,Covariance,Rayleigh scattering,Pattern recognition,Kalman filter,Sinusoidal model | Conference |
Volume | ISSN | ISBN |
3 | 1520-6149 E-ISBN : 1-4244-0728-1 | 1-4244-0728-1 |
Citations | PageRank | References |
3 | 0.46 | 1 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Ming Chen | 1 | 13 | 1.48 |
Mats Viberg | 2 | 1043 | 126.67 |
Stefan Felter | 3 | 5 | 0.86 |