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Increasing Accuracy of Tracking Loop for the Rosette Scanning Seeker Using Improved ISODATA and Intelligent Center of Gravity

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Author(s): Hadi Soltanizadeh | Shahriar Baradaran Shokouhi

Journal: Journal of Applied Sciences
ISSN 1812-5654

Volume: 8;
Issue: 7;
Start page: 1159;
Date: 2008;
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Keywords: rosette pattern seeker | tracking loop | classification | Simulator | central gravity

ABSTRACT
Rosette scan infrared seeker offers the imaging information of target to the processing unit. In the processing unit of the missile, all of the received samples are clustered, classified and then the center of each class is determined. The conventional clustering techniques on rosette pattern are unable to classify all samples correctly. A new clustering method, with improved classification ability, is proposed in this research. Also, a new technique to compute the centroid of each class is introduced. The method is robust against the variation of class radius and more precise in comparison with previous methods. Exploiting the proposed clustering method and features, real target is discriminated from flares and missile tracks the target in a correct trajectory. Also an effective simulator is used to evaluate the performance of rosette scanning seekers, decrease the cost of design and construction. Using this simulation, we can test the system in several cases with different algorithms. Hence the results can be readily verified by simulations within this framework. In this study, the rosette pattern along with the target and flares is simulated and then the clustering and classification methods including K-Mean`s and ISODATA are used to distinguish the target. It is revealed that the tracking loop presents the best results when using the proposed improved ISODATA method to detect the target and Error Back Propagation (EBP) learning method for computing centroids.
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