The performance of a mean level detector processing M-correlated consecutive sweeps is derived. Performance when sweeps are independent can be obtained simply as a special case. The background noise is assumed stationary Gaussian and pulses are fluctuating according to the Swerling I model. Results are obtained for both finite and infinite reference noise samples. It is shown that for fixed M the relative improvement over the single hit case increases when the correlation between sweeps decreases and as the probability of false alarm is kept at lower rates.


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    Title :

    Performance of a Mean Level Detector Processing M-Correlated Sweeps


    Contributors:

    Published in:

    Publication date :

    1981-05-01


    Size :

    1674666 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English