Vestnik of Volga State University of Technology. Series «Radio Engineering and Infocommunication Systems»


ISSN (print):
 2306-2819ISSN (online): 3034-3054

Founder

Volga State University of Technology

Editor-in-Chief

Ryabova N.V., Doctor of Sc., Professor

Frequency / Access

4 issues per year / Subscription

Included in

Higher Attestation Commission List, RISC

The journal was founded in 2007. Until 2012 it was published under the name of «Vestnik of Mari State Technical University. Series «Radio Engineering and Infocommunication Systems». From 2012, because of university renaming, it is called « Vestnik of Volga State University of Technology. Series «Radio Engineering and Infocommunication Systems». Is issued 4 times a year.

Founder and Publisher: Federal Budget State Educational Institution of Higher Vocational Training «Volga State University of Technology»

Certificate of registration ПИ № ФС77-67092 от 15.09.2016

The journal is included in the Russian Science Citation Index (RSCI) database, Ulrich's Periodicals Directory, and in the list of leading peer-reviewed scientific journals and editions for publishing the essential scientific results of the theses for the degrees of Candidate and Doctor of Sciences. Peer-reviewed by All-Union Institute of Scientific and Technical Information of the Russian Academy of Sciences (VINITI RAS)

The journal publishes results of original scientific and technical investigations in the sphere of radio engineering, information and communication, controlling systems, implementing information transmission, reception, retrieval and destroying using different wavelength ranges, as well as research results of the theory of systems and networks on their architecture and structure, methods of information switching and the routing of traffic, protocol realizations and distributed information processing, soft/hardware of infocommunication systems and their information security. The results on the scientific basis of new technologies of electronic device production and the principles of their construction are published.

Current Issue

No 1(65) (2025)

Full Issue

Telecommunication and radio engineering

Expanding the Dynamic Range of Radio Receivers with Photonic ADCs
Denisov A.E., Danilaev D.P.
Abstract

Introduction. The field of radio photonics has advanced rapidly, enabling the development of photonic analog-to-digital converters (PADCs) with distinct advantages over traditional electronic ADCs. PADCs offer new opportunities for designing digital radio receivers with enhanced performance. This paper evaluates the potential of PADCs in radio receivers through modeling in specialized software. The study addresses the following objectives: (1) selecting an optimal PADC circuit for a radio receiver, (2) developing a model of a radio receiver incorporating a PADC, (3) fine-tuning the PADC elements’ parameters, (4) validating the model using a test signal mixed with noise, and (5) assessing the performance characteristics of the receiver with a PADC. Modeling. The model of the PADC’s optical circuit was developed using OptiSystem software, which provides an extensive library of optical and electronic components with adjustable parameters. This setup enables a detailed analysis of how individual elements affect PADC performance. OptiSystem also integrates with MATLAB for additional computational capabilities. Established models of circuit components, such as a mode-locked laser with specifications aligned with real-world systems, were incorporated during model development and testing. Results. The resulting model of a digital radio receiver with an all-photonic ADC exhibits the following characteristics: 1) Bit depth – 8 bits, scalable by adding channels; 2) Sampling frequency – Adjustable via pulse repetition rate, reaching up to 100 GHz in the model; 3) Noise considerations – Accounts for intrinsic noise from optical and electronic components. Simulations revealed that a 4 dB increase in insertion loss at the Mach-Zehnder modulator (MZM) could cause signal degradation, which can be mitigated by adjusting the comparator’s response level. Notably, maximizing the photodiode’s thermal noise did not alter the output signal. Conclusion. The proposed digital radio receiver with a PADC achieves a sensitivity of -110 dBm in the absence of external interference. The structure supports signal processing up to 50 GHz without requiring additional filtering or signal transfer components. This design demonstrates the potential of PADCs to enhance the dynamic range and performance of radio receivers.

Vestnik of Volga State University of Technology. Series «Radio Engineering and Infocommunication Systems». 2025;(1(65)):6-17
pages 6-17 views
Procedural Generation of Height Maps and Landscapes: Fractal Methods and Their Application
Buchatsky A.N., Prokhorov K.U., Rogozinski G.G.
Abstract

Introduction. This article provides a detailed examination of procedural generation methods for height maps and landscapes, with a primary focus on fractal-based techniques. The aim of the study was to describe the characteristics of an ideal landscape generation model and to propose a novel noise generation algorithm that enhances the controllability of the generation process. Methods. There is presented an overview of key fractal-based noise generation algorithms, including concise descriptions and assessments of their capabilities. Findings. Based on the analysis of existing algorithms, the article introduces a new noise generation method. The practical significance. The proposed algorithm enables the creation of landscapes with diverse forms and structures, a high degree of detail, rich textural variability, and dynamic features, resulting in visually compelling and realistic terrains. Additionally, it simplifies the tuning of generation parameters. Therefore, the article serves as a valuable resource for developers of games and applications involving the procedural generation of height maps and landscapes.

Vestnik of Volga State University of Technology. Series «Radio Engineering and Infocommunication Systems». 2025;(1(65)):18-33
pages 18-33 views
Enhancing the Functionality of Communication Systems with Mobile Objects Operating in the Information Field
Kuznetsov A.S.
Abstract

Introduction. This paper proposes a method and algorithm for the joint reception and positioning of moving objects based on the principles of information field theory. A signal model for systems operating within the information field is developed, along with a synthesized multimarkov-polygaussian model of such signals. An algorithm for estimating the parameters of signals in these systems is presented, and the effectiveness of the proposed solutions is evaluated. The aim is to enhance the functionality of communication systems with mobile objects by developing methods and algorithms for the joint reception of signals based on information field theory. Methods.  Information field theory and multi-markov-polygaussian processing algorithms are applied to enable positioning functionality within existing communication systems. Findings. Using these methods and models, the paper develops a signal model for systems operating in the information field, synthesizes a probabilistic signal model based on the multimarkov-polygaussian approach, designs an algorithm for parameter estimation, and assesses the efficiency of the proposed solutions. The practical significance. The developed methods and algorithms reduce errors in determining the coordinates and velocities of passive objects, and can be implemented in communication systems with mobile objects to significantly enhance their functionality.

Vestnik of Volga State University of Technology. Series «Radio Engineering and Infocommunication Systems». 2025;(1(65)):34-45
pages 34-45 views
Construction of a Stochastic Model for a Linear Extrapolator of an L-Markov Fractal Process
Fadeeva L.Y.
Abstract

Introduction. Problems arising in information theory, automatic control theory, statistical radio engineering and radiophysics, metrology, geology, and other fields often necessitate the study of extrapolation, interpolation, and filtering of random processes and fields. In many cases, when analyzing complex systems characterized by stochastic behavior, the underlying processes are either Markovian or closely related to Markov processes. Today, spectral estimation of random processes and fields is regarded as one of the most promising mathematical methods for investigating such systems. In practice, the spectrum of a random process is typically measured using physical instruments such as spectrum analyzers. Many real-world random processes and fields exhibit invariance under scaling transformations. Consequently, their study reduces to the analysis of stochastic self-similar processes, which can be described using fractal sets. Fractal geometry methods, based on the concept of fractal dimension, have proven to be effective tools for evaluating such complex and heterogeneous processes and fields. The purpose of this work is to confirm the author's hypothesis that a subclass of fractal processes exists within the broader class of L-Markov processes, and to synthesize a stochastic model for the optimal linear extrapolator for this subclass. Basic approaches. This paper presents key aspects of the general theory of stationary random functions, emphasizing the spectral representation of functions whose spectral densities possess specific forms. The physical meaning of spectral representation lies in the ability to isolate spectral components corresponding to different parts of the spectrum using appropriately designed filters. By modeling the input signal as a real stationary random process with a spectral representation, it becomes possible to simulate, forecast, and qualitatively control the filtering process. To construct the optimal linear extrapolator, the study utilizes stochastic methods for analyzing random processes and fields, the theory of analytic and entire functions, the theory of stochastic differential-difference equations with delayed arguments, and methods of fractal analysis for random processes. Conclusions. It was found that within the class of L-Markov processes, for certain values of the parameters characterizing their quasi-rational spectral densities, there exists a subclass of processes with fractal properties. These processes are persistent, exhibiting a high Hurst exponent and, correspondingly, a low fractal dimension. As a result, they possess sufficient memory, enabling reliable and accurate prediction. A model for a linear extrapolator for an L-Markov fractal random process with a quasi-rational spectrum has been synthesized. The findings show that the optimal linear extrapolator for a forward time interval τ depends only on the process values at a finite number of points and does not involve an integral term. This result is particularly important for many technical applications that require the identification, classification, filtering, and recognition of random processes.

Vestnik of Volga State University of Technology. Series «Radio Engineering and Infocommunication Systems». 2025;(1(65)):46-54
pages 46-54 views

Computer engineering and informatics

Opportunities for Applying Cyber Threat Intelligence Technologies from Open Sources: A Case Study Using the MITRE ATT&CK Framework
Sadykov A.M., Alekseeva A.A., Safiullina L.K., Sabirova D.I.
Abstract

Introduction. The relevance of employing OSINT (Open Source Intelligence) and CTI (Cyber Threat Intelligence) in the evolving landscape of cybersecurity is increasingly recognized. This is particularly evident in the growing number of targeted attacks and the limitations of traditional security measures in detecting them. There is a pressing need to address the key challenges associated with integrating OSINT and CTI data into corporate information security systems, as well as the automation of intelligence data collection and analysis processes. Objective. This study aims to explore the applicability of various OSINT tools for identifying vulnerabilities in information systems, using the MITRE ATT&CK framework and focusing on techniques from the "Reconnaissance" tactic. Methodology. The research methodology includes a comparative analysis of modern OSINT and CTI tools, a review of approaches to processing and interpreting threat intelligence data, and practical testing of selected MITRE ATT&CK tactics and sub-techniques. The study evaluates five sub-techniques under the "Reconnaissance" tactic: IP block scanning (T1595.001), wordlist scanning (T1595.003), DNS/passive DNS analysis (T1596.001), use of WHOIS data (T1596.002), and database scanning (T1596.005). Tools such as Nmap, Dirb, dig, WHOIS, and Shodan were utilized to implement these techniques. Results. Active IP block scanning and DNS analysis proved effective in identifying critical IT infrastructure vulnerabilities, including open ports and insecure service configurations. The use of Dirb and Shodan enabled the discovery of hidden vulnerabilities in web applications and internet-connected devices. WHOIS data analysis revealed risks associated with the public availability of domain ownership information, which can be exploited in phishing attacks and social engineering schemes. The findings highlight the importance of integrating OSINT with the MITRE ATT&CK framework for the systematic analysis of threats and vulnerabilities. The proposed approach enables organizations not only to detect potential threats but also to implement preventive measures such as WHOIS data monitoring, regular scanning of internet-exposed assets, and DNS record analysis. This contributes to enhanced cyber resilience and reduced risk of successful cyberattacks. Conclusion. The application of OSINT tools within the MITRE ATT&CK framework provides cybersecurity professionals with an effective means for proactively identifying threats and vulnerabilities. The results of this study can inform cybersecurity practices, including the development of new defense tools and the enhancement of existing threat monitoring systems. Future research will focus on the quantitative assessment of this approach’s effectiveness to better evaluate its impact on organizational cybersecurity.

Vestnik of Volga State University of Technology. Series «Radio Engineering and Infocommunication Systems». 2025;(1(65)):55-69
pages 55-69 views
Modeling the Optical Characteristics of the Radiation Source in a Fiber-Optic Gyroscope as a Control Element in a Computing System
Nikitina K.A., Freiman V.I., Shirinkin V.D.
Abstract

Introduction. Navigation systems play a critical role in the rapidly evolving transportation, satellite, and space industries. Among these, systems based on fiber-optic gyroscopes (FOGs) are of particular importance due to their reliability, simple design, high potential accuracy, and linear performance characteristics. However, to meet contemporary technological demands, it is essential to continuously enhance the precision of such systems. This study focuses on modeling the optical component of the radiation source in a fiber-optic gyroscope as a control element within a navigation computing system. The developed model enables in-depth study of the optical subsystem and provides a platform for testing methods to ensure stable performance of the radiation source under monitored parameters. The aim of the research is to develop a software model of the optical component of the FOG radiation source and to experimentally investigate the dependence of weighted average wavelength and pump power on temperature. Research objectives: 1) Conduct experimental investigation of the optical characteristics of the FOG radiation source using a physical prototype; 2) Develop a software model in the GainMaster simulation environment; 3) Conduct experimental studies using the developed software model of the FOG radiation source; 4) Compare the results obtained through simulation and full-scale experiments; 5) Draw conclusions regarding the applicability of the developed model. Methods. The study involves the creation and analysis of a model for the optical subsystem of the FOG radiation source using GainMaster software, experimental evaluation of the output characteristics, and processing of both modeling and experimental results. Results. It was determined that the GainMaster-based model could not be reliably used due to discrepancies in the mathematical representation of active fiber components. Despite this, simulations were carried out in GainMaster. Conclusion. The modeling revealed a mismatch between simulated and experimental dependencies of weighted average wavelength and power with respect to temperature, even though the absorption and luminescence parameters of the fibers were similar in value. Practical Significance. The simulation results are intended to be used for testing algorithms aimed at improving accuracy through stabilization of the radiation source's output characteristics.

Vestnik of Volga State University of Technology. Series «Radio Engineering and Infocommunication Systems». 2025;(1(65)):70-82
pages 70-82 views

Instrument engineering

A Comprehensive Method for Monitoring the Key Functional Characteristics of the Self-Propagating High-Temperature Synthesis Reaction in Multilayer Thin-Film Structures
Volkov K.A.
Abstract

Introduction. Reactive multilayer foils undergoing self-propagating high-temperature synthesis (SHS) consist of alternating layers of two or more materials capable of participating in an exothermic reaction. These foils are typically fabricated using thin-film deposition techniques such as magnetron sputtering. Activation is achieved through external stimuli–electrical, thermal, laser, or mechanical–resulting in a rapid release of heat. Peak reaction temperatures can reach 1500 °C, and the energy released may be as high as 1200 J/g. The combustion front can propagate at speeds of 8–10 m/s. Due to the broad range of industrial applications for reactive multilayer foils, there is a need for a reliable method to monitor the critical parameters of the foil–both post-fabrication and during the optimization of fabrication processes. This study aims at developing and validating a comprehensive monitoring method for the SHS reaction in multilayer thin-film structures, allowing for simultaneous assessment of reaction characteristics using a single experiment on a single sample. The following objectives were posed in the study: to analyze existing monitoring methods and propose new or improved approaches suitable for integration into a unified methodology; to conduct experimental validation using sample foils tailored to the testing techniques employed within the comprehensive method; to develop and substantiate a unified monitoring approach based on experimental data, emphasizing the behavior of SHS in thin-film structures. Results. A calorimetric setup using copper plates and platinum sensing elements effectively measured the energy released during the SHS reaction. Thermal equilibrium was reached within 1–1.5 minutes. Preheating the system to +35 °C (above room temperature) accelerated cooling but had no effect on the final thermal equilibrium state. A method was proposed for determining the SHS reaction activation energy by gradually increasing the voltage across a capacitor, followed by direct contact between the capacitor electrodes and the foil surface. The activation energy was found to be independent of both pulse duration (capacitor capacitance) and amplitude (applied voltage). For example, activation occurred with a 300 μF capacitor at 12 V (yielding 23.8 mJ), as well as with a 1000 μF capacitor at 6.9 V, corresponding to the same energy level of 23.8 mJ. The propagation velocity of the SHS reaction front was successfully measured using two optical sensors (phototransistors). With a l = 20 mm distance between sensors, the required sensor response time and system measurement accuracy (error ≤ 0.1 ms) were established. The selected phototransistors demonstrated a response time of 15 μs.

Vestnik of Volga State University of Technology. Series «Radio Engineering and Infocommunication Systems». 2025;(1(65)):83-97
pages 83-97 views

The novelties in the field of engineering and technologies. Reviews. Conferences. Important dates

Памяти профессора Якова Абрамовича Фурмана
Editorial T.
Vestnik of Volga State University of Technology. Series «Radio Engineering and Infocommunication Systems». 2025;(1(65)):98-99
pages 98-99 views

Согласие на обработку персональных данных с помощью сервиса «Яндекс.Метрика»

1. Я (далее – «Пользователь» или «Субъект персональных данных»), осуществляя использование сайта https://journals.rcsi.science/ (далее – «Сайт»), подтверждая свою полную дееспособность даю согласие на обработку персональных данных с использованием средств автоматизации Оператору - федеральному государственному бюджетному учреждению «Российский центр научной информации» (РЦНИ), далее – «Оператор», расположенному по адресу: 119991, г. Москва, Ленинский просп., д.32А, со следующими условиями.

2. Категории обрабатываемых данных: файлы «cookies» (куки-файлы). Файлы «cookie» – это небольшой текстовый файл, который веб-сервер может хранить в браузере Пользователя. Данные файлы веб-сервер загружает на устройство Пользователя при посещении им Сайта. При каждом следующем посещении Пользователем Сайта «cookie» файлы отправляются на Сайт Оператора. Данные файлы позволяют Сайту распознавать устройство Пользователя. Содержимое такого файла может как относиться, так и не относиться к персональным данным, в зависимости от того, содержит ли такой файл персональные данные или содержит обезличенные технические данные.

3. Цель обработки персональных данных: анализ пользовательской активности с помощью сервиса «Яндекс.Метрика».

4. Категории субъектов персональных данных: все Пользователи Сайта, которые дали согласие на обработку файлов «cookie».

5. Способы обработки: сбор, запись, систематизация, накопление, хранение, уточнение (обновление, изменение), извлечение, использование, передача (доступ, предоставление), блокирование, удаление, уничтожение персональных данных.

6. Срок обработки и хранения: до получения от Субъекта персональных данных требования о прекращении обработки/отзыва согласия.

7. Способ отзыва: заявление об отзыве в письменном виде путём его направления на адрес электронной почты Оператора: info@rcsi.science или путем письменного обращения по юридическому адресу: 119991, г. Москва, Ленинский просп., д.32А

8. Субъект персональных данных вправе запретить своему оборудованию прием этих данных или ограничить прием этих данных. При отказе от получения таких данных или при ограничении приема данных некоторые функции Сайта могут работать некорректно. Субъект персональных данных обязуется сам настроить свое оборудование таким способом, чтобы оно обеспечивало адекватный его желаниям режим работы и уровень защиты данных файлов «cookie», Оператор не предоставляет технологических и правовых консультаций на темы подобного характера.

9. Порядок уничтожения персональных данных при достижении цели их обработки или при наступлении иных законных оснований определяется Оператором в соответствии с законодательством Российской Федерации.

10. Я согласен/согласна квалифицировать в качестве своей простой электронной подписи под настоящим Согласием и под Политикой обработки персональных данных выполнение мною следующего действия на сайте: https://journals.rcsi.science/ нажатие мною на интерфейсе с текстом: «Сайт использует сервис «Яндекс.Метрика» (который использует файлы «cookie») на элемент с текстом «Принять и продолжить».