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GA based dynamic maneuver box sizes selection for an active tracking function model

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dc.contributor.advisor Dr. Qi Yulu (Chairperson) en_US
dc.contributor.advisor Dr. Dentcho N Batanov (Member) en_US
dc.contributor.advisor Dr. Aekavute Sujarae (Member) en_US
dc.contributor.author Natee Pantong en_US
dc.date December 2000 en_US
dc.date.accessioned 2015-01-12T10:39:16Z
dc.date.available 2015-01-12T10:39:16Z
dc.identifier.other AIT Thesis no.CS-00-25 en_US
dc.identifier.uri http://www.cs.ait.ac.th/xmlui/handle/123456789/183
dc.description 59 leaves en_US
dc.description.abstract Active Tracking Function (ATF) is one of calculation parts used in Air Defense Systems. It performs the important role in calculating the track prediction of aircraft. Active Tracking Function can be divided into three stages, Correlation, Smoothing and Track Prediction. The smoothing stage is used to calculate the smoothing values of position and velocity for predicting track in track prediction stage. The data used for the calculation in the smoothing stage are the radar returns from the radar sites, which will be selected by the Maneuver Box. In present system, the sizes of Maneuver Box are set to some fixed values, which make the tracking system have some undesirable number of track losses. This event reduces the tracking system automatically because the operators have to reinitiate the track to maintain the track of aircraft after losing of track. In this study, we have modified the ATF to use the dynamic sizes Maneuver Box. The Genetic Algorithm (GA) is employed as the search algorithm for searching the optimum sizes of Maneuver Box by using Cheap Joint Probabilistic Data Association as its fitness function. The experiment is carried out to test the effectiveness of the GA base dynamic sizes Maneuver Box with the different population size and number of generation. The results of the experiment show that using the GA base dynamic sizes Maneuver Box, it is possible to achieve the improved performance of tracking system. en_US
dc.description.sponsorship Royal Thai Government en_US
dc.relation.ispartof Thesis no. CS-00-25 en_US
dc.relation.ispartof Asian Institute of Technology. Thesis no. CS-00-25 en_US
dc.source SAT/CS en_US
dc.subject Fighter planes -- Tracking en_US
dc.subject Genetic algorithms en_US
dc.title GA based dynamic maneuver box sizes selection for an active tracking function model en_US
dc.type Thesis en_US

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