Title :
Bootstrap modeling of a class of nonstationary signals
Author :
Zoubir, Abdelhak M. ; Iskander, D. Robert
Author_Institution :
Sch. of Electr. & Comput. Eng., Curtin Univ. of Technol., Perth, WA, Australia
fDate :
2/1/2000 12:00:00 AM
Abstract :
The problem of modeling polynomial-phase signals is considered. Techniques based on the bootstrap and multiple hypotheses tests for optimal model selection of constant amplitude polynomial-phase signals embedded in stationary noise are developed. Phase parameter estimators based on both the least-squares method and the polynomial phase transform are used. The proposed techniques are compared with existing ones, including Akaike´s (1978, 1974) information criterion and Rissanen´s (1978) minimum description length criterion and are shown to outperform these procedures for the considered small sample sizes
Keywords :
least squares approximations; noise; phase estimation; polynomials; signal sampling; transforms; Akaike´s information criterion; Rissanen´s minimum description length criterion; bootstrap modeling; constant amplitude polynomial-phase signals; least-squares method; multiple hypotheses tests; nonstationary signals; optimal model selection; phase parameter estimators; polynomial phase transform; polynomial-phase signals; small sample sizes; stationary noise; Australia; Doppler radar; Finite impulse response filter; Frequency modulation; Marine technology; Parameter estimation; Polynomials; Radar imaging; Sonar; Testing;
Journal_Title :
Signal Processing, IEEE Transactions on
