Please use this identifier to cite or link to this item: http://hdl.handle.net/10995/75284
Title: Synthesis and analysis of radar signal classification algorithms
Authors: Dorosinskiy, L. G.
Issue Date: 2016
Publisher: Academic Press
Citation: Dorosinskiy L. G. Synthesis and analysis of radar signal classification algorithms / L. G. Dorosinskiy // International Journal of Pure and Applied Mathematics. — 2016. — Vol. 109. — Iss. 3. — P. 681-689.
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. © 2016 Academic Publications, Ltd.
Keywords: ALGORITHM
PROBABILITY
RECOGNITION
URI: http://hdl.handle.net/10995/75284
Access: info:eu-repo/semantics/openAccess
SCOPUS ID: 84991672280
PURE ID: 1236282
ISSN: 1311-8080
DOI: 10.12732/ijpam.v109i3.16
Appears in Collections:Научные публикации, проиндексированные в SCOPUS и WoS CC

Files in This Item:
File Description SizeFormat 
10.12732-ijpam.v109i3.16.pdf117,05 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.