A polynomial approach for maximum-likelihood (ML) estimation of superimposed signals in time-series problems and array processing was recently proposed. This technique was applied successfully to linear uniform arrays and to uniformly sampled complex exponential signals. However, uniformly spaced arrays are not optimal for minimum variance estimation of bearing, range or position, and uniform sampling of signals is not always possible in practice. The authors make use of the expectation-maximization algorithm to apply the polynomial approach to sublattice arrays and to missing samples in time-series problems.<>


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    Title :

    Nonuniform array processing via the polynomial approach


    Contributors:
    Weiss, A.J. (author) / Willsky, A.S. (author) / Levy, B.C. (author)


    Publication date :

    1989-01-01


    Size :

    574457 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




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