Attention now turns to nonlinear filtering problems that are related to some of the minimum variance controlMinimum variance control laws discussed previously. Two forms of the estimator are described that have a nonlinear minimum variance form. The first has the virtue of simplicity and the second is useful since it can be related to Wiener or Kalman filteringKalman filtering when the system is linear. They can both include nonlinear communication channel dynamics in the problem construction. This is the most useful learning point and is a feature not usually considered. The channel equalization design example illustrates the useful structure of the polynomial-based solution and the computations involved.


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    Title :

    Nonlinear Estimation Methods: Polynomial Systems Approach


    Contributors:

    Published in:

    Publication date :

    2020-05-20


    Size :

    44 pages




    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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