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A novel refinement technique for 2-D PPS parameter estimation
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DOI：10.1016/j.sigpro.2013.06.033.png)
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Abstract
En 中文
This paper considers refinement in parameter estimation of 2-D polynomial phase signals (PPSs). For this purpose, a method based on phase unwrapping, filtering and polynomial fitting is developed. In the method, 2-D parameter estimation is reduced to 1-D refinement procedure, thus significantly gaining in calculation efficiency. As initial estimates, the proposed method takes the estimates provided by any 2-D parameter estimator. In this paper, we use initial estimates provided by the standard Francos-Friedlander algorithm. Numerical simulations performed on third-order 2-D PPSs show that mean squared error of the proposed estimator reaches the Cramer-Rao lower bound above the signal-to-noise ratio threshold. (C) 2013 Elsevier B.V. All rights reserved.
Keywords:
Polynomial-phase signal
Phase unwrapping
Parameter refinement