A computationally efficient technique for estimating the parameters of polynomial-phase signals from noisy observations
(2005) A computationally efficient technique for estimating the parameters of polynomial-phase signals from noisy observations. IEEE Transactions on Signal Processing 53(8):pp. 3337-3342.
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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.
| Item Type: | Journal Article |
|---|---|
| RM Number: | 2006000905 |
| Status: | Published |
| Keywords: | Higher order statistics parameter estimation polynomial approximation |
| Subjects: | Subjects UNSPECIFIED |
| ID Code: | 10253 |
| Deposited By: | Bozzetto, Adam |
| Deposited On: | 19 October 2007 |
| Alternative Locations: | http://dx.doi.org/10.1109/TSP.2005.851177 |
| Copyright Owner: | Copyright 2005 IEEE |
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