IJPAM: Volume 109, No. 3 (2016)

SYNTHESIS AND ANALYSIS OF
RADAR SIGNAL CLASSIFICATION ALGORITHMS

Leonid G. Dorosinskiy
Ural Federal University Named After the First
President of Russia B.N. Yeltsin
Institute of Radioelectronics and
Information Technologies
620002, Ekaterinburg, RUSSIAN FEDERATION

Abstract. In the process of solving a wide range of tasks concerning the Earth surface remote sensing and its state monitoring, the main role is played by the algorithm of the surface image forming and the algorithm of images and their fragments classification as well. From the statistical point of view the solution is based on the maximum-likelihood method. The paper presents analytical equations for likelihood coefficients and the structural scheme of their forming in the solution of radar signal recognition. To analyze the efficiency of the proposed algorithms are found boundary equations for probability calculating of correct signals with the usage of Chernoff- Kailath ratios. This ratios evaluate the upper and lower probability boundaries of correct and incorrect decisions in the case of classification of optional class number from different type surfaces.

Received: August 1, 2018

Revised: August 18, 2016

Published: October 1, 2016

AMS Subject Classification: 11A05, 60G35, 65D15, 93E10

Key Words and Phrases: recognition, algorithm, probability
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Bibliography

1
L.G. Dorosinskiy, The research of the distributed objects' radar image recognition algorithms, Applied and Fundamental Studies, Proceedings of the 2$^{\text{st}}$ International Academic Conference, Vol. 1, St Louis, Missouri USA (2013).

2
L.G. Dorosinskiy, Invariants for the radar image classification. Applied and Fundamental Studies. Proceedings of the 2$^{\text{st}}$ International Academic Conference. Vol. 1, St Louis, Missouri USA (2013).

3
L.G. Dorosinskiy, Radar Signals Class Recognition Algorithm Synthesis Applied and Fundamental Studies, Proceedings of the 4$^{\text{st}}$ International Academic Conference, Vol. 1, St Louis, Missouri USA (2013).

4
L.G. Dorosinskiy, Synthesis of Signal Flow Group Parameter Optimal Indicator, Proceedings of the 4$^{\text{st}}$ International Academic Conference, Vol. 1, St Louis, Missouri USA (2013).

5
G. Van Tris, Theory of detection, assessments and modulation, Vol. 1, Soviet radio, Moscow (1972).

6
Y. D. Shirman, V. N. Manzhos, Theory and technology of radar data processing on the interference background, Radio nad Telecommunication, Moscow (1981).

7
T. Kailath, The divergence and bhattacharya distance measures in signal selection, IEEE Trans., COM-15 (1967), 52-60.

8
K. Fukunaga, Introduction to statistical pattern recognition, Science, Moscow (1979).

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DOI: 10.12732/ijpam.v109i3.16 How to cite this paper?

Source: International Journal of Pure and Applied Mathematics
ISSN printed version: 1311-8080
ISSN on-line version: 1314-3395
Year: 2016
Volume: 109
Issue: 3
Pages: 681 - 690


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