Name
Abstract | ||
|---|---|---|
Motivated by the analysis of measured radio channels and recently published physics-based scattering SISO and MIMO channel models, a new approach of long-range channel prediction based on nonstationary multi component polynomial phase signals (MC-PPS) is proposed. An iterative and recursive method for detecting the number of signals and the orders of the polynomial phases is proposed. The performance of these detectors and estimators is evaluated by Monte Carlo simulations. The performance of the new channel predictors is evaluated using both synthetic signals and examples of real world channels measured in urban and suburban areas. High-order polynomial phase parameters are detected in most of the measured data sets, and the new methods outperform the classical LP in given examples for long-range prediction for the cases where the estimated model parameters are stable. For the more difficult data sets, the performance of these methods are similar, which provides alternatives for system design when other issues are concerned. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/TSP.2008.2007615 | IEEE Transactions on Signal Processing |
Keywords | Field | DocType |
nonstationary multi component polynomial,long-range channel prediction,new channel predictor,high-order polynomial phase parameter,measured data set,nonstationary parametric modeling,new method,mimo channel model,new approach,polynomial phase,measured radio channel,predictive models,mimo,polynomials,monte carlo simulations,radio propagation,iterative methods,detectors,signal analysis,phase detection,monte carlo simulation,monte carlo methods,kalman filter,iterative method,parametric model,scattering,system design,parametric statistics | Monte Carlo method,Parametric model,Polynomial,Control theory,Iterative method,MIMO,Algorithm,Communication channel,Parametric statistics,Estimation theory,Statistics,Mathematics | Journal |
Volume | Issue | ISSN |
57 | 2 | 1053-587X |
Citations | PageRank | References |
8 | 0.57 | 18 |
Authors | ||
2 | ||