Title :
A polynomial phase parameter estimation-phase unwrapping algorithm
Author :
Slocumb, B.J. ; Kitchen, J.
Author_Institution :
Georgia Tech. Res. Inst., Georgia Inst. of Technol., Atlanta, GA, USA
Abstract :
This paper describes a new approach for estimating the polynomial phase coefficients of an unknown signal with constant amplitude. Our approach uses linear regression on the unwrapped signal phase, a technique introduced by Tretter (1981) and further developed by Djuric and Kay (see IEEE Trans. on Signal Processing, vol.38, no.12, p.2118-2126, 1990). The proposed technique expands upon the previous work by developing a recursion for conducting the phase unwrapping concurrently with the coefficient estimation. The unwrapping performance is improved because of the use of current coefficient estimates. A secondary result provided by the new algorithm is an instantaneous phase estimate. Simulations show improvements in mean-squared error threshold level of the coefficient estimates over the method of Djuric and Kay
Keywords :
error analysis; least squares approximations; phase estimation; polynomials; signal processing; statistical analysis; coefficient estimates; coefficient estimation; constant amplitude signal; least squares estimation; linear regression; mean-squared error threshold level; parameter estimation; phase estimate; phase unwrapping algorithm; polynomial phase coefficients; simulations; unwrapped signal phase; unwrapping performance; Amplitude estimation; Australia; Gaussian noise; Laboratories; Least squares approximation; Paper technology; Parameter estimation; Phase estimation; Polynomials; Signal to noise ratio;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1994. ICASSP-94., 1994 IEEE International Conference on
Conference_Location :
Adelaide, SA
Print_ISBN :
0-7803-1775-0
DOI :
10.1109/ICASSP.1994.389854