DocumentCode
1606562
Title
The Data Fusion Techniques for Tasks Ranking in Multifunction Radar
Author
Kawalec, Adam ; Komorniczak, W. ; Pietrasinski, J. ; Czarnecki, Witold
Author_Institution
Mil. Univ. of Technol., Warsaw
fYear
2006
Firstpage
195
Lastpage
198
Abstract
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.
Keywords
fuzzy neural nets; inference mechanisms; learning (artificial intelligence); probability; radar computing; resource allocation; sensor fusion; data fusion technique; fuzzy inference system; fuzzy-probabilistic ranking algorithm; hybrid fuzzy-neural network; multifunction radar resources management; registered data learning set; tasks ranking algorithm; Costs; Fuzzy neural networks; Fuzzy systems; Inference algorithms; Intelligent networks; Neural networks; Optimal control; Radar; Resource management; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Microwaves, Radar & Wireless Communications, 2006. MIKON 2006. International Conference on
Conference_Location
Krakow
Print_ISBN
978-83-906662-7-3
Type
conf
DOI
10.1109/MIKON.2006.4345138
Filename
4345138
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