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- Chen, Ming, 1972, et al.
(author)
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Adaptive Channel Prediction Based on Polynomial Phase Signals
- 2008
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In: 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP; Las Vegas, NV; United States; 31 March 2008 through 4 April 2008. - 1520-6149. - 9781424414840 ; , s. 2881-2884
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Conference paper (peer-reviewed)abstract
- Motivated by recently published physics based scattering SISO and MIMO channel models, a new adaptivechannel prediction using Kalman filter based on non-stationary polynomial phase signals with time-varying amplitudes is proposed. To mitigate the influence of the time-varying amplitudes on parameter estimation, an iterative estimation using the Non-linear instantaneous LS criterion is proposed, where the number of signal components and model orders are known. The new predictoroutperforms the classical Linear Prediction and stationarysinusoidal modeling based prediction in Monte Carlo simulations.
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| 2. |
- Chen, Ming, 1972, et al.
(author)
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Models and Predictions of Scattered Radio Waves on Rough Surfaces
- 2007
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In: IEEE ICASSP 2007 (Honolulu, Hawaii, USA, 2007). ; 3, s. 785-788
-
Conference paper (peer-reviewed)abstract
- 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.
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