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SUMMARY:Modelling Systems of Weakly Characterised Sensors - Dr Chris Willi
 s\, BAE Systems Applied Intelligence
DTSTART:20160209T160000Z
DTEND:20160209T170000Z
UID:TALK62972@talks.cam.ac.uk
CONTACT:CCA
DESCRIPTION:The modelling of the Automatic Target Detection\, Recognition 
 and Identification performance in systems of multiple sensors and/or platf
 orms is important in several respects. For example\, in the selection of s
 ensors or sensor combinations of sufficient performance to achieve operati
 onal requirements or\; for understanding how the system might be best expl
 oited. To this end a simulation framework has been developed examining sen
 sor options across different sensor types\, parameterisations\, search str
 ategies\, and applications. It uses Bayesian Decision Theoretic principles
 \, along with simple sensor models and Monte-Carlo simulation\, to derive 
 the expected performance of single deployed sensors and of sensor combinat
 ions. The basic framework has been significantly extended to include recog
 nition and identification problems along with the detection problem for wh
 ich it was originally designed. The framework has also been expanded to tr
 eat cases in which the sensors are poorly characterised\, and recommendati
 ons for parameterisation in this mode are made.
LOCATION:MR5
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