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.
Sensor cueing performance analysis
Sensor Uebertragungsanalyse
1984
4 Seiten, 6 Bilder, 1 Tabelle, 3 Quellen
Conference paper
English
NTIS | 1974
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