A new algorithm, the finite-difference algorithm, is proposed for single-component polynomial phase signal parameter estimation. The proposed algorithm takes advantage of the framework of the quasi-maximum-likelihood (QML) estimator but estimates the finite difference of the polynomial instead of the derivative. The algorithm is computationally simpler and has comparable performance to the QML algorithm. A phase centering step is proposed to increase the detectable range of polynomial phase parameters as an alternative to phase unwrapping.


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    Title :

    Finite-Difference Algorithm for Polynomial Phase Signal Parameter Estimation


    Contributors:


    Publication date :

    2020-02-01


    Size :

    1984905 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English







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