Title :
Parameter estimation of multicomponent polynomial-phase signals by intersection of signal subspaces
Author :
Barbarossa, Sergio
Author_Institution :
INFOCOM Dept., Rome Univ., Italy
Abstract :
The aim of this work is the parameter estimation of polynomial-phase signals (PPSs) embedded in white noise. The proposed estimation algorithm is a generalization of the method based on the polynomial-phase transform (PPT), able to solve an ambiguity problem appearing when applying the PPT to PPSs having the same highest order phase coefficients. The proposed approach is based on the intersection of two (or more) signal subspaces sharing only the useful components but not the undesired spurious harmonics. Different signal subspaces are obtained by exploiting a multilag definition of the PPT
Keywords :
interference (signal); phase estimation; polynomials; spectral analysis; transforms; white noise; ambiguity problem; highest order phase coefficients; multicomponent polynomial-phase signals; multilag definition; polynomial-phase transform; signal subspaces; white noise; Additive white noise; Parameter estimation; Phase detection; Phase estimation; Polynomials; Radar detection; Radar signal processing; Signal analysis; Synthetic aperture radar; White noise;
Conference_Titel :
Statistical Signal and Array Processing, 1996. Proceedings., 8th IEEE Signal Processing Workshop on (Cat. No.96TB10004
Conference_Location :
Corfu
Print_ISBN :
0-8186-7576-4
DOI :
10.1109/SSAP.1996.534913
