title: Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° ÐºÐ¾Ð³Ð½Ð¸ÑÐ¸Ð²Ð½Ð¾Ð³Ð¾ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð° ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸ Ð²Ð¸Ð´Ð¾Ð² Ð¼Ð°Ð½Ð¸Ð¿ÑÐ»ÑÑÐ¸Ð¸ ÑÐ¸Ð³Ð½Ð°Ð»Ð¾Ð² Ð² ÑÐ¸ÑÑÐ¾Ð²ÑÑ ÑÐ°Ð´Ð¸Ð¾ÑÐµÐ»ÐµÐ¹Ð½ÑÑ Ð»Ð¸Ð½Ð¸ÑÑ ÑÐ²ÑÐ·Ð¸
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¼Ð°Ð³Ð¸ÑÑÑÐ° Ð¿Ð¾ Ð½Ð°Ð¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸Ñ 11.04.02 - ÐÐ½ÑÐ¾ÐºÐ¾Ð¼Ð¼ÑÐ½Ð¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½ÑÐµ ÑÐµÑ Ð½Ð¾Ð»Ð¾Ð³Ð¸Ð¸ Ð¸ ÑÐ¸ÑÑÐµÐ¼Ñ ÑÐ²ÑÐ·Ð¸ ; 11.04.02_01 - ÐÐ°ÑÐ¸ÑÐµÐ½Ð½ÑÐµ ÑÐµÐ»ÐµÐºÐ¾Ð¼Ð¼ÑÐ½Ð¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½ÑÐµ ÑÐ¸ÑÑÐµÐ¼Ñ
titleType: Subtitle
Creators: name: Ð¤Ð¸Ð»Ð¸Ð½Ð¾Ð²Ð°, ÐÐ°ÑÐ¸Ð½Ð°
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2019
Subjects: Ð­Ð»ÐµÐºÑÑÐ¸ÑÐµÑÐºÐ°Ñ ÑÐ²ÑÐ·Ñ ÑÐ¸ÑÑÐ¾Ð²Ð°Ñ
Ð²Ð¸Ð´Ñ Ð¼Ð°Ð½Ð¸Ð¿ÑÐ»ÑÑÐ¸Ð¸
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description: Ð¦ÐµÐ»ÑÑ Ð´Ð°Ð½Ð½Ð¾Ð¹ ÑÐ°Ð±Ð¾ÑÑ ÑÐ²Ð»ÑÐµÑÑÑ ÑÐ¾Ð·Ð´Ð°Ð½Ð¸Ðµ ÑÐ½Ð¸Ð²ÐµÑÑÐ°Ð»ÑÐ½Ð¾Ð³Ð¾ Ð¼Ð¾Ð´ÐµÐ¼Ð° Ð´Ð»Ñ Ð¿ÑÐ¸ÑÐ¼Ð° ÑÐ¸Ð³Ð½Ð°Ð»Ð¾Ð² ÑÐ¸ÑÑÐ¾Ð²ÑÑ ÑÐ°Ð´Ð¸Ð¾ÑÐµÐ»ÐµÐ¹Ð½ÑÑ Ð»Ð¸Ð½Ð¸Ð¹ ÑÐ²ÑÐ·Ð¸ Ñ ÐºÐ²Ð°Ð´ÑÐ°ÑÑÑÐ½Ð¾Ð¹ Ð°Ð¼Ð¿Ð»Ð¸ÑÑÐ´Ð½Ð¾-ÑÐ°Ð·Ð¾Ð²Ð¾Ð¹ Ð¼Ð°Ð½Ð¸Ð¿ÑÐ»ÑÑÐ¸ÐµÐ¹. Ð¢Ð°ÐºÐ¾Ð¹ Ð¼Ð¾Ð´ÐµÐ¼ Ð¿Ð¾Ð´ÑÐ°Ð·ÑÐ¼ÐµÐ²Ð°ÐµÑ ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐºÑ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð°, ÑÐ¿Ð¾ÑÐ¾Ð±Ð½Ð¾Ð³Ð¾ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÑÐ¸ÑÐ¾Ð²Ð°ÑÑ Ð²Ð¸Ð´Ñ Ð¼Ð°Ð½Ð¸Ð¿ÑÐ»ÑÑÐ¸Ð¸ Ñ Ð²ÑÑÐ¾ÐºÐ¾Ð¹ Ð²ÐµÑÐ¾ÑÑÐ½Ð¾ÑÑÑÑ Ð¿ÑÐ°Ð²Ð¸Ð»ÑÐ½Ð¾Ð¹ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸ Ð±ÐµÐ· Ð°Ð¿ÑÐ¸Ð¾ÑÐ½Ð¾Ð¹ Ð¸Ð½ÑÐ¾ÑÐ¼Ð°ÑÐ¸Ð¸ Ð¾Ð± Ð¾ÑÐ½Ð¾ÑÐµÐ½Ð¸Ð¸ ÑÐ¸Ð³Ð½Ð°Ð»-ÑÑÐ¼. Ð Ð´Ð°Ð½Ð½Ð¾Ð¹ ÑÐ°Ð±Ð¾ÑÐµ Ð±ÑÐ»Ð¸ Ð¿ÑÐ¾Ð°Ð½Ð°Ð»Ð¸Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ñ ÐºÐ°Ðº ÐºÐ¾Ð³Ð½Ð¸ÑÐ¸Ð²Ð½ÑÐµ, ÑÐ°Ðº Ð¸ Ð½ÐµÐºÐ¾Ð³Ð½Ð¸ÑÐ¸Ð²Ð½ÑÐµ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ñ Ð´Ð»Ñ ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ñ Ð²Ð¸Ð´Ð¾Ð² Ð¼Ð°Ð½Ð¸Ð¿ÑÐ»ÑÑÐ¸Ð¸. Ð¡ÑÐµÐ´Ð¸ Ð½ÐµÐºÐ¾Ð³Ð½Ð¸ÑÐ¸Ð²Ð½ÑÑ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð¾Ð² Ð±ÑÐ»Ð¸ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ñ ÑÐ²Ð¾Ð¹ÑÑÐ²Ð° Ð¾Ð¿ÑÐ¸Ð¼Ð°Ð»ÑÐ½Ð¾Ð³Ð¾ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð° Ð¸ ÐµÐ³Ð¾ MAX-LOG-MAP Ð°Ð¿Ð¿ÑÐ¾ÐºÑÐ¸Ð¼Ð°ÑÐ¸Ð¸, Ð° ÑÐ°ÐºÐ¶Ðµ Ð¿Ð¾Ð»ÑÑÐµÐ½Ñ Ð°Ð½Ð°Ð»Ð¸ÑÐ¸ÑÐµÑÐºÐ¸Ðµ Ð²ÑÐºÐ»Ð°Ð´ÐºÐ¸, Ð¿Ð¾Ð·Ð²Ð¾Ð»ÑÑÑÐ¸Ðµ Ð¿Ð¾Ð»ÑÑÐ¸ÑÑ Ð²ÐµÑÐ¾ÑÑÐ½Ð¾ÑÑÐ½ÑÑ ÑÐ°ÑÐ°ÐºÑÐµÑÐ¸ÑÑÐ¸ÐºÑ, ÑÐ²Ð»ÑÑÑÑÑÑÑ Ð½Ð°Ð¸Ð»ÑÑÑÐµÐ¹ Ð² ÑÑÐ»Ð¾Ð²Ð¸ÑÑ ÐÐÐÐ¨. ÐÐ¾ ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐ°Ð¼ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ ÑÑÐ¸Ñ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð¾Ð² Ð±ÑÐ» Ð²ÑÑÐ²Ð»ÐµÐ½ ÐºÐ»ÑÑÐµÐ²Ð¾Ð¹ Ð½ÐµÐ´Ð¾ÑÑÐ°ÑÐ¾Ðº: Ð½ÐµÐ²Ð¾Ð·Ð¼Ð¾Ð¶Ð½Ð¾ÑÑÑ ÑÐ¾ÑÐ½Ð¾Ð¹ Ð¾ÑÐµÐ½ÐºÐ¸ Ð¾ÑÐ½Ð¾ÑÐµÐ½Ð¸Ñ ÑÐ¸Ð³Ð½Ð°Ð»-ÑÑÐ¼ Ð² ÑÐµÐ°Ð»ÑÐ½ÑÑ ÑÑÐ»Ð¾Ð²Ð¸ÑÑ. ÐÐ¾ ÑÐµÐ¼Ð°ÑÐ¸ÐºÐµ ÐºÐ¾Ð³Ð½Ð¸ÑÐ¸Ð²Ð½ÑÑ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð¾Ð² Ð±ÑÐ» Ð¿ÑÐ¾Ð²ÐµÐ´ÑÐ½ Ð»Ð¸ÑÐµÑÐ°ÑÑÑÐ½ÑÐ¹ Ð¾Ð±Ð·Ð¾Ñ Ð¸ Ð½Ð° ÐµÐ³Ð¾ Ð¾ÑÐ½Ð¾Ð²Ðµ Ð²ÑÐ±ÑÐ°Ð½Ð° Ð¼Ð¾Ð´ÐµÐ»Ñ Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ. ÐÑÐ»Ð° ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½Ð° Ð¸ ÑÐµÐ°Ð»Ð¸Ð·Ð¾Ð²Ð°Ð½Ð° Ð¸Ð¼Ð¸ÑÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ Ð¼Ð¾Ð´ÐµÐ»Ñ Ð´Ð»Ñ Ð¿Ð¾Ð»ÑÑÐµÐ½Ð¸Ñ Ð²ÐµÑÐ¾ÑÑÐ½Ð¾ÑÑÐ½ÑÑ ÑÐ°ÑÐ°ÐºÑÐµÑÐ¸ÑÑÐ¸Ðº Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð¾Ð². ÐÐ¾ ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐ°Ð¼ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ ÑÐ²Ð¾Ð¹ÑÑÐ² Ð°ÑÑÐ¸ÑÐµÐºÑÑÑÑ ÑÐ²ÑÑÑÐ¾ÑÐ½ÑÑ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÑ ÑÐµÑÐµÐ¹ Ð±ÑÐ»Ð° ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½Ð°, ÑÐµÐ°Ð»Ð¸Ð·Ð¾Ð²Ð°Ð½Ð° Ð¸ Ð¾Ð±ÑÑÐµÐ½Ð° Ð½Ð° ÑÐ¾Ð±ÑÐ°Ð½Ð½Ð¾Ð¹ Ð²ÑÐ±Ð¾ÑÐºÐµ Ð¼Ð¾Ð´ÐµÐ»Ñ Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ, Ð½ÐµÐ·Ð°Ð²Ð¸ÑÑÑÐ°Ñ Ð¾Ñ Ð¾ÑÐµÐ½ÐºÐ¸ Ð¾ÑÐ½Ð¾ÑÐµÐ½Ð¸Ñ ÑÐ¸Ð³Ð½Ð°Ð»-ÑÑÐ¼.
description: The aim of this work is to create a universal modem for receiving signals from digital radio relay communication lines with quadrature amplitude-phase manipulation. Such a modem implies the development of an algorithm capable of classifying types of manipulations with a high probability of correct classification without a priori information about the signal-to-noise ratio. In this paper, we analyzed both cognitive and non-cognitive algorithms for recognizing types of manipulation. Among non-cognitive algorithms, the properties of the optimal algorithm and its MAX-LOG-MAP approximations were studied, and analytical calculations were obtained that made it possible to obtain a probabilistic characteristic that is the best in the case of ABGS. Based on the results of a study of these algorithms, a key shortcoming was identified: the impossibility of an accurate estimate of the signal-to-noise ratio in real conditions. A literature review was conducted on the subject of cognitive algorithms, and a machine learning model was selected on its basis. A simulation model was developed and implemented to obtain the probabilistic characteristics of the algorithms. Based on the results of studying the properties of the architecture of convolutional neural networks, a machine learning model was developed, implemented and trained on the assembled sample, independent of the evaluation of the signal-to-noise ratio.