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
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;
Conference_Titel :
Microwaves, Radar & Wireless Communications, 2006. MIKON 2006. International Conference on
Conference_Location :
Krakow
Print_ISBN :
978-83-906662-7-3
DOI :
10.1109/MIKON.2006.4345138
