GA based dynamic maneuver box sizes selection for an active tracking function model | |
| Author | Natee Pantong |
| Call Number | AIT Thesis no.CS-00-25 |
| Subject(s) | Genetic algorithms Fighter planes |
| Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science,School of Advanced Technologies |
| Publisher | Asian Institute of Technology |
| Series Statement | Thesis ; no. CS-00-25 |
| 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. |
| Year | 2000 |
| Corresponding Series Added Entry | Asian Institute of Technology. Thesis ; no. CS-00-25 |
| Type | Thesis |
| School | School of Advanced Technologies (SAT) |
| Department | Department of Information and Communications Technologies (DICT) |
| Academic Program/FoS | Computer Science (CS) |
| Chairperson(s) | Qi, Yulu; |
| Examination Committee(s) | Batanov, Dentcho N.;Aekavute Sujarae; |
| Scholarship Donor(s) | Royal Thai Government; |
| Degree | Thesis (M.Sc.) - Asian Institute of Technology, 2000 |