In this study, an expert system based EA and tracking system is developed
and the performances of these systems are optimized.
Tracking system consists of a monopulse tracking radar and a Multiple
Hypothesis Tracking (MHT) algorithm. MHT is modelled as a
measurement& / #8208 / oriented approach, which is capable of initiating tracks. As
each measurement is received, probabilities are calculated for the
hypotheses and target states are estimated using a Kalman filter.
Range Gate Pull-Off (RGPO) is selected as an EA technique to be developed
because it is accepted to be the primary deception technique employed
against tracking radar. Two modes of RGPO technique / linear and
parabolic, according to time delay controller are modelled.
Genetic Algorithm (GA) Toolbox of MATLAB is used for the optimization
of these systems over some predetermined scenarios. It is observed that the
performance of the tracking radar system is improved significantly and
successful tracking is achieved over all given scenarios, even for closely
spaced targets. RGPO models are developed against this improved tracking
performance and deception of tracking radar is succeeded for all given
target models.
| Identifer | oai:union.ndltd.org:METU/oai:etd.lib.metu.edu.tr:http://etd.lib.metu.edu.tr/upload/12609045/index.pdf |
| Date | 01 December 2007 |
| Creators | Turkcu, Ozlem |
| Contributors | Leblebicioglu, M. Kemal |
| Publisher | METU |
| Source Sets | Middle East Technical Univ. |
| Language | English |
| Detected Language | English |
| Type | M.S. Thesis |
| Format | text/pdf |
| Rights | To liberate the content for public access |
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