Parameter estimation of phase-modulated signals using Bayesian unwrapping
IEEE Transactions on Signal Processing
Identifiability and aliasing in polynomial-phase signals
IEEE Transactions on Signal Processing
Efficient estimation of a narrow-band polynomial phase signal impinging on a sensor array
IEEE Transactions on Signal Processing
Polynomial-phase estimation, phase unwrapping and the nearest lattice point problem
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
A low complexity blind estimator of narrowband polynomial phase signals
IEEE Transactions on Signal Processing
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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.