The Data Fusion Techniques for Tasks Ranking in Multifunction Radar

The paper presents the problem of tasks ranking in multifunction radar resources management. The data fusion tasks ranking approach is discussed. The neural network, fuzzy inference system, hybrid fuzzy-neural and fuzzy-probabilistic ranking algorithms are presented. The information sources for task...

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Bibliographic Details
Main Authors: Kawalec, A., Komorniczak, W., Pietrasinski, J., Czarnecki, W.
Format: Conference Proceeding
Language:English
Subjects:
Costs
Fuzzy neural networks
Fuzzy systems
Inference algorithms
Intelligent networks
Neural networks
Optimal control
Radar
Resource management
Testing
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Summary:The paper presents the problem of tasks ranking in multifunction radar resources management. The data fusion tasks ranking approach is discussed. The neural network, fuzzy inference system, hybrid fuzzy-neural and fuzzy-probabilistic ranking algorithms are presented. The information sources for tasking process have been selected and discussed. Evaluation of the performance of the ranking process is based on defined costs of removal/delay measures. The testing results are shown and discussed.
DOI:10.1109/MIKON.2006.4345138