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
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