DocumentCode :
2953296
Title :
Increasing the efficiency of radiolocation systems with application of artificial intelligence
Author :
Djurov, V. ; Kostova, M. ; Vasilev, V. ; Tsakoumis, A.C.
Author_Institution :
Univ. of Ruse, Bulgaria
fYear :
2004
fDate :
23-25 Sept. 2004
Firstpage :
139
Lastpage :
143
Abstract :
The specialized radiolocation complexes working with spread receivers provide high obscurity, noise protection and reliability. These demands can be fulfilled with complex signals emitted from the source, radioholographic approaches in processing and a decision making method for identification. In the paper the application of artificial intelligence for increasing the efficiency of radiolocation systems (RLS) is introduced.
Keywords :
artificial intelligence; decision making; fuzzy neural nets; identification; radio direction-finding; radio receivers; telecommunication computing; artificial intelligence; complex signals; decision making; identification; radioholographic approaches; radiolocation systems efficiency; spread receivers; Application software; Artificial intelligence; Artificial neural networks; Decision making; Entropy; Protection; Reliability engineering; Resonance light scattering; Sections; Signal processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Network Applications in Electrical Engineering, 2004. NEUREL 2004. 2004 7th Seminar on
Print_ISBN :
0-7803-8547-0
Type :
conf
DOI :
10.1109/NEUREL.2004.1416557
Filename :
1416557
Link To Document :
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