Classification of Radio Communication Signals using Fuzzy Logic
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.
[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[4] I. Sekaj, "Fuzzy a neur├│novésystémy," unpublished internal matters,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.
[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[4] I. Sekaj, "Fuzzy a neur├│novésystémy," unpublished internal matters,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.
@article{"International Journal of Electrical, Electronic and Communication Sciences:54895", author = "Zuzana Dideková and Beata Mikovičová", title = "Classification of Radio Communication Signals using Fuzzy Logic", 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", volume = "6", number = "4", pages = "386-5", }