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

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3 Author(s)
Farquharson, M. ; Sch. of Electr. & Electron. Syst. Eng., Queensland Univ. of Technol., Brisbane, Qld., Australia ; O'Shea, P. ; Ledwich, G.

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.

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Signal Processing, IEEE Transactions on  (Volume:53 ,  Issue: 8 )