Radar signal classification algorithms synthesis and analysis

被引：0

作者：

Dorosinskiy, Leonid ^{[1
]}

Myasnikov, Filipp ^{[1
]}

机构：

[1] Ural Fed Univ, Ekaterinburg, Russia

来源：

2017 7TH INTERNATIONAL CONFERENCE ON MODELING, SIMULATION, AND APPLIED OPTIMIZATION (ICMSAO) | 2017年

关键词：

Recognition algorithms; probability; detection; noise;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

The main role in the task of process remote sensing data of the Earth surface are played algorithms of forming and classification those data. 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.

引用

页数：4