A computationally efficient technique for estimating the parameters of polynomial-phase signals from noisy observations

Authors:
M. Farquharson;P. O'Shea;G. Ledwich
Affiliations:
Sch. of Electr. & Electron. Syst. Eng., Queensland Univ. of Technol., Brisbane, Qld., Australia;-;-
Venue:
IEEE Transactions on Signal Processing - Part II
Year:
2005

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Abstract

Many real-world applications are characterized by the presence of polynomial phase signals embedded in noise. These applications include radar, sonar, telemetry, communications, and power systems. In a significant number of these applications, it is highly desirable to be able to accurately estimate the polynomial phase signal parameters. This correspondence presents a computationally efficient method for estimating any or all of the parameters of polynomial-phase signals in white Gaussian noise and provides a first-order statistical analysis of the technique. Simulations are also presented to support the theoretical analysis.