Acceptance tests for surveillance radars are often formulated in terms of the cumulative probability of detection (P) at a specified range. Statistical methods for determining point and interval estimates of P from a small number of flight tests are discussed. Three types of estimators, frequency, Bayesian, and maximum likelihood, are studied both analytically and by Monte Carlo simulation. Extensions to more complicated acceptance tests, involving track formation probabilities, are discussed.<>


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    Title :

    Statistical tests for surveillance radars


    Contributors:


    Publication date :

    1993-07-01


    Size :

    561512 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



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