Title :
Estimation and classification of polynomial-phase signals
Author :
Peleg, Shimon ; Porat, Boaz
Author_Institution :
Elisra Electron. Syst., Bene Beraq, Israel
fDate :
3/1/1991 12:00:00 AM
Abstract :
The measurement of the parameters of complex signals with constant amplitude and polynomial phase, measured in additive noise, is considered. A novel new integral transform that is adapted for signals of this type is introduced. This transform is used to derive estimation and classification algorithms that are simple to implement and that exhibit good performance. The algorithms are extended to constant amplitude and continuous nonpolynomial phase signals
Keywords :
information theory; parameter estimation; signal processing; transforms; additive noise; classification; complex signals; constant amplitude signals; continuous nonpolynomial phase signals; estimation; integral transform; parameters measurement; polynomial-phase signals; Additive noise; Amplitude estimation; Automatic control; Estimation theory; Fusion power generation; Gaussian noise; Parameter estimation; Phase estimation; Polynomials; Random variables;
Journal_Title :
Information Theory, IEEE Transactions on