Name
Abstract | ||
|---|---|---|
Motivated by recently published physics based scattering SISO and MIMO channel models in mobile communications [1, 2], a new adaptive channel prediction based on non-stationary polynomial phase signals is proposed. To mitigate the influence of the time-varying amplitudes and to reduce the computation complexity, an iterative estimation of the polynomial phase parameters using the Non-linear instantaneous LS criterion is proposed. Given the polynomial phase parameters, the time-varying amplitudes are estimated using the Kalman filter. The performance of the new predictor is evaluated by Monte Carlo simulations in SISO scenarios with multiple scattering clusters. The new predictor outperforms the classical Linear Prediction and previous prediction methods based on sinusoidal modeling. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/ICASSP.2008.4518251 | ICASSP |
Keywords | Field | DocType |
nonlinear estimation,kalman filter,mobile communications,kalman filters,monte carlo simulations,adaptive kalman filtering,prediction methods,wireless channels,mobile radio,radio propagation,mimo communication,monte carlo methods,siso channel,mimo channel,time-varying amplitudes,nonstationary polynomial phase signals,rayleigh channels,adaptive channel prediction,computational complexity,monte carlo simulation,mobile communication | Mobile radio,Mathematical optimization,Monte Carlo method,Polynomial,Computer science,Communication channel,Linear prediction,Kalman filter,Amplitude,Radio propagation | Conference |
ISSN | ISBN | Citations |
1520-6149 E-ISBN : 978-1-4244-1484-0 | 978-1-4244-1484-0 | 2 |
PageRank | References | Authors |
0.40 | 8 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ming Chen | 1 | 13 | 1.48 |
| Mats Viberg | 2 | 1043 | 126.67 |
| Stefan Felter | 3 | 5 | 0.86 |