Signal detection with signal’s parameters estimation problem is cinsidered. It is shown, that as opposit to the classic algorithm based on comparing likelihood ratio with definite threshold, in general case of non-gaussian aposteriory density function decission making rule has more complicated structure and requires two thresolds. For the picewise-linear observation and picewise-gaussian a priori density function of the parameter to be estimated the precise closed decission-making algorithm is synthesized. Simple example with nonlinear discrimenator is considered.


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    Title :

    EXACT CLOSED FORM SOLUTION OF SIGNAL DETECTION AND PARAMETERS ESTIMATION PROBLEM WITH PIECEWICE LINEAR OBSERVATION


    Contributors:


    Publication date :

    2016




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown








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