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Source Type Recognition Algorithm of Radio Emission using Radial Basis Functions

Abstract

This paper deals with the radio source type detection algorithm with a complicated time-frequency structure. The algorithm is based on splitting training data classes into sub-classes, and using them for making a decision about the type of radio source. Result of testing on simulated data is presented.

About the Authors

V. F. Korotkov
"Special Technology Center" Ltd
Russian Federation
D.Sc. in engineering, SRF, lead engineer


R. S. Zyryanov
Saint Petersburg Electrotechnical University "LETI"
Russian Federation
2nd year Master’s Degree student


References

1. Mel'nikov Yu. P. Vozdushnaya radiotehnicheskaya razvedka (metody otsenki effektivnosti) [Aerial electronic reconnaissance (performance assessment methods)]. Moskow, Radio and svjaz', 2005, 304 p. (In Russian)

2. Smirnov Yu. A. Radiotekhnicheskaya razvedka [Electronic reconnaissance]. Moskow, Voenizdat, 2001, 452 p. (In Russian) Received November, 28, 2016

3. Korotkov V. F. Raspoznavanie RES s ispol'zovaniem neironnykh setei [RES recognition using neural networks]. St. Petersburg, VUS, 2003, 156 p. (In Russian)

4. Duda R. O., Khart P. E. Pattern classification and scene analysis. N. Y., John Wiley & Sons, 1973, 482 p.

5. Osovskii S. Neironnye seti dlya obrabotki informatsii [Neural networks for information processing]. Moskow, Finansy I statistika, 2002, 344 p. (In Russian)


Review

For citations:


Korotkov V.F., Zyryanov R.S. Source Type Recognition Algorithm of Radio Emission using Radial Basis Functions. Journal of the Russian Universities. Radioelectronics. 2017;(1):12-16. (In Russ.)

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ISSN 1993-8985 (Print)
ISSN 2658-4794 (Online)