The ability to cuse a sensor to a target using a state estimate from a separate sensor is key to the fusion of identification information from several sensors in a multisensor correlation (fusion) ID system. The cueing problem is more pronounced when the second sensor's field-of-view (FOV) approaches the size of the first sensor's measurement error and/or the first sensor's FOV is significantly larger than that of the second sensor. This paper investigates both static and dynamic ceuing algorithms: a static algorithm places the second sensor's FOV around the first sensor's state estimate, whereas a dynamic algorithm moves the second sensor's FOV if target is not acquired in the first try according to a specified search algorithm.


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    Title :

    Sensor cueing performance analysis


    Additional title:

    Sensor Uebertragungsanalyse


    Contributors:


    Publication date :

    1984


    Size :

    4 Seiten, 6 Bilder, 1 Tabelle, 3 Quellen


    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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