An algorithm is presented for maximum posterior probability (MPP) demodulation of angle-modulated signals. A sampled data version of the problem is considered, in which additive Gaussian noise and Gaussian modulating signal are assumed. The algorithm is a numerical method for solving the nonlinear equations which are necessary conditions for MPP estimation. Results of a simulation of the algorithm are presented and discussed. Improvements in performance with respect to a phaselocked loop appear to stem from use of data before and after the time position of a phase estimate and from optimization of performance at low signal-to-noise ratio (SNR) as well as at high SNR.


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    Title :

    Maximun Posterion Probability Demodulation of Angle-Modulated Signals


    Contributors:
    Tuffs, D.W. (author) / Frabcis, J.T. (author)

    Published in:

    Publication date :

    1979-03-01


    Size :

    1895897 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English