Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 33093
Classification of Radio Communication Signals using Fuzzy Logic
Authors: Zuzana Dideková, Beata Mikovičová
Abstract:
Characterization of radio communication signals aims at automatic recognition of different characteristics of radio signals in order to detect their modulation type, the central frequency, and the level. Our purpose is to apply techniques used in image processing in order to extract pertinent characteristics. To the single analysis, we add several rules for checking the consistency of hypotheses using fuzzy logic. This allows taking into account ambiguity and uncertainty that may remain after the extraction of individual characteristics. The aim is to improve the process of radio communications characterization.Keywords: fuzzy classification, fuzzy inference system, radio communication signals, telecommunications
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1061725
Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1971References:
[1] H. V. Poor, An Introduction to Signal Detection and Estimation.Springer-Verlag, 1988.
[2] H. L. Van Trees ,Detection, Estimation, and Modulation Theory, Part 1. Wiley, 2001.
[3] R. C. Gonzalez, R. E. Wood, Digital Image Processing. 3rd edition, Pearson Prentice Hall, 2003.
[4] I. Sekaj, "Fuzzy a neur├│novésystémy," unpublished internal matters, 2006.
[5] M. Negnevitsky,Artificial Intelligence. Pearson Education Limited, 2005,pp. 259-299.
[6] V. Nov├ík, Fuzzy množiny a jejich aplikace. 1st ed.Praha: SNTL, 1986, p. 278.