Title :
Model selection of random amplitude polynomial phase signals
Author :
Morelande, Mark R. ; Zoubir, Abdelhak M.
Author_Institution :
Sch. of Electr. & Comput. Eng., Curtin Univ. of Technol., Perth, WA, Australia
fDate :
3/1/2002 12:00:00 AM
Abstract :
Procedures for selecting the amplitude and phase models of a polynomial phase signal (PPS) modulated by a nonstationary random process are presented. The model selection is performed by using nonlinear least-squares type phase and amplitude parameter estimators with sequential generalizations of the Bonferroni test. Simulation results are used to analyze the performance of the procedures. An application to modeling of real passive acoustic data is presented
Keywords :
acoustic signal processing; amplitude estimation; least squares approximations; phase estimation; polynomials; random processes; AM-FM signals; Bonferroni test; amplitude estimator; model selection; multiple hypothesis testing; nonlinear least-squares; nonstationary random process; passive acoustic data modeling; phase estimator; random amplitude polynomial phase signals; simulation results; Acoustic testing; Amplitude estimation; Amplitude modulation; Parameter estimation; Performance evaluation; Phase estimation; Phase modulation; Polynomials; Random processes; Signal processing;
Journal_Title :
Signal Processing, IEEE Transactions on
