Adaptive Channel Prediction Based on Polynomial Phase Signals
Paper i proceeding, 2008

Motivated by recently published physics based scattering SISO and MIMO channel models, a new adaptive channel 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 predictor outperforms the classical Linear Prediction and stationary sinusoidal modeling based prediction in Monte Carlo simulations.

Prediction methods

Adaptive Kalman filtering

Rayleigh channels

Nonlinear estimation

Radio propagation


Ming Chen

Chalmers, Signaler och system, Signalbehandling och medicinsk teknik

Mats Viberg

Chalmers, Signaler och system, Signalbehandling och medicinsk teknik

Stefan Felter

Ericsson AB

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 (ISSN)

978-142441484-0 (ISBN)


Elektroteknik och elektronik





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