Advanced topics in signal processing
Non-linear instantaneous least squares and its high SNR analysis
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 03
New approaches for channel prediction based on sinusoidal modeling
EURASIP Journal on Applied Signal Processing
Analysis of Multicomponent Polynomial Phase Signals
IEEE Transactions on Signal Processing
Model selection of random amplitude polynomial phase signals
IEEE Transactions on Signal Processing
On polynomial phase signals with time-varying amplitudes
IEEE Transactions on Signal Processing
Cramer-Rao bounds and maximum likelihood estimation for randomamplitude phase-modulated signals
IEEE Transactions on Signal Processing
Efficient mixed-spectrum estimation with applications to targetfeature extraction
IEEE Transactions on Signal Processing
Product high-order ambiguity function for multicomponentpolynomial-phase signal modeling
IEEE Transactions on Signal Processing
The discrete polynomial-phase transform
IEEE Transactions on Signal Processing
| Hi-index | 35.68 |
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.