Begell House Inc.
Telecommunications and Radio Engineering
TRE
0040-2508
79
9
2020
SINGULAR INTEGRAL EQUATIONS IN THZ PLANE WAVE SCATTERING BY GRAPHENE SEMI-INFINITE GRATING
731-742
10.1615/TelecomRadEng.v79.i9.10
M. E.
Kaliberda
V. Karazin National University of Kharkiv, 4 Svobody Sq., Kharkiv 61022,
Ukraine
Leonid M.
Lytvynenko
Institute of Radio Astronomy, National Academy of Sciences of Ukraine, 4 Mystetstv St., Kharkiv 61002, Ukraine
Sergey A.
Pogarsky
V. Karazin National University of Kharkiv, 4 Svobody Sq., Kharkiv 61022, Ukraine
Graphene strip
semi-infinite grating
singular integral
The H-polarized wave scattering by the semi-infinite grating of graphene strips in the THz frequency range is considered. Graphene strips are modeled as zero-thickness resistive surface with conductivity obtained from the Kubo's formalism. The scattered field is represented as a sum of the field of currents on the strips of infinite periodic grating and correction field. The singular integral equation with additional conditions is obtained. The frequency dependences of the scattered field, as well as field distribution are presented, and the influence of the correction currents is discussed.
A DUAL SIDE-PLATE MILLIMETER-WAVE ANTENNA FOR 5G APPLICATIONS
743-751
10.1615/TelecomRadEng.v79.i9.20
S.
Bellona
Department of Electronics & Communication Engineering, Manipal Institute of
Technology, Manipal Academy of Higher Education, Manipal, Karnataka 576104, India
G.
Gowthami
Department of Electronics & Communication Engineering, Manipal Institute of
Technology, Manipal Academy of Higher Education, Manipal, Karnataka 576104, India
O.
Kumar
Department of Electronics & Communication Engineering, Manipal Institute of
Technology, Manipal Academy of Higher Education, Manipal, Karnataka 576104, India
T.
Ali
Department of Electronics & Communication Engineering, Manipal Institute of
Technology, Manipal Academy of Higher Education, Manipal, Karnataka 576104,
India
IoT
millimeter (mm) wave
side-plate
5G
Globally many researchers have been showcasing immense attention to the latest sophisticated technology of the ever-evolving future generation in the field of communication in wireless cellular technology. The day to day growth in the usage of mobile data increases the pressure on the demand for a faster communication system. Therefore, the objective is to satiate the emergent needs for high data rates which is on the rise. The introduction of new fifth generation (5G) technology has pledged to be more advantageous for the welfare of the world hence creating a crucial distinction over the fourth generation. The layout of fifth generation millimeter (mm) wave antenna provides wide bandwidth which is important in determining the performance of 5G networks. This paper talks about a dual side-plated mm wave antenna which can be used in 5G networks. The antenna discussed in this paper is etched on the substrate, RO4003c which has a thickness of 1.5 mm and a dielectric constant (er) of 3.38 with loss tangent, 0.0012. The antenna provides a gain of 7.38 dBi with S11 return loss of -19.19 dB at the frequency 28 GHz. It also covers a wide bandwidth of 6.5 GHz which can be used for future applications.
ANGLE-RANGE ESTIMATION FOR BISTATIC FDA-MIMO RADAR VIA TENSOR COMPLETION
753-768
10.1615/TelecomRadEng.v79.i9.30
Q.
Wang
School of Computer Science, Northeast Electric Power University, 169
Changchun Rd, Chuanying District, Jilin City, Jilin, China
D.
Yu
College of Electrical Engineering, Northeast Electric Power University, 169
Changchun Rd, Chuanying District, Jilin City, Jilin, China
Yi.
Zhu
Engineering Technology Centor, CRRC Changchun Railway Vehicles Company Limited 2001 Changke Road, Changchun, Jilin, China
frequency diverse array (FDA)
multiple-input multiple-output (MIMO) radar
tensor completion
Laplace function
parameter estimation
In this paper, the tensor completion method is used to study the direction-of-departure (DOD), direction-of-arrival (DOA) and range parameters estimation of bistatic frequency diverse array (FDA) multiple-input multiple-output (MIMO) radar. Because in reality scene, the data received by the receiver may be incomplete data, only a part of the information is included. In order to solve the incomplete problem of the received signal, we can use the tensor completion to recover the missing part of the data. The traditional two-dimensional radar received signal is reconstructed into three-dimensional tensor signal model in tensor mode. A non-convex Laplacian function is proposed to approximate the tensor rank of the three-dimensional received signal. This is the problem of non-convex optimization. Using the alternative direction method of multipliers (ADMM), the non-convex optimization problem is divided into two sub optimization problems to solve, so as to recover the missing data of the received signal. Then, parallel factor (PARAFAC) is used to realize the joint estimation of parameters and improve the estimation accuracy.
SPATIAL-TEMPORAL PROCESSING OF ACOUSTIC SIGNALS OF UNMANNED AERIAL VEHICLES
769-780
10.1615/TelecomRadEng.v79.i9.40
Vladimir M.
Kartashov
Kharkov National University of Radio Engineering and Electronics, 14, Nauka Ave, Kharkiv, 61166, Ukraine
Volodimir M.
Oleynikov
Kharkiv National University of Radio Engineering and Electronics, 14 Nauka Ave,
Kharkiv, 61166, Ukraine
O. V.
Zubkov
Kharkiv National University of Radio Electronics, 14 Nauka Ave, Kharkiv 61166, Ukraine
I. V.
Koryttsev
Kharkiv National University of Radio Electronics, 14 Nauka Ave, Kharkiv 61166, Ukraine
Stanislav I.
Babkin
Kharkov National University of Radio Engineering and Electronics,
14, Nauky Ave, Kharkiv, 61166, Ukraine
S. A.
Sheyko
Kharkiv National University of Radio Electronics, 14 Nauka Ave, Kharkiv 61166, Ukraine
M. M.
Kolendovska
Kharkiv National University of Radio Electronics, 14 Nauka Ave, Kharkiv 61166,
Ukraine
antenna array
unmanned aerial vehicle
signal processing
detection
adaptive filter
acoustic radiation
The algorithms of spatial-temporal processing of acoustic signals of unmanned aerial vehicles operating according to various performance criteria are analyzed. An algorithm for the spatial-temporal processing of a broadband acoustic signal has been synthesized. Based on the results of computer simulation, it is shown that the maximum efficiency is provided by the criterion of the maximum useful signal / interference ratio at the output of the adaptive antenna array.
USING FUZZY CLUSTERING IN STRUCTURAL METHODS OF IMAGE CLASSIFICATION
781-791
10.1615/TelecomRadEng.v79.i9.50
V. О.
Gorokhovatskyi
Kharkiv National University of Radio Electronics, 14 Nauka Ave., Kharkiv, 61166, Ukraine
I. S.
Tvoroshenko
Kharkiv National University of Radio Electronics, 14 Nauka Ave, Kharkiv 61166, Ukraine
N. V.
Vlasenko
Simon Kuznets Kharkiv National University of Economics, 9-A Nauka Ave.,
Kharkiv 61166, Ukraine
computer vision
image keypoint
BRISK detector
descriptor
fuzzy clustering
c-means method
membership function
relevance of descriptions
voting characteristics
The results of image classification problem solving using structural methods in computer vision systems are presented. The technology for introducing fuzzy clustering on a set of descriptors of keypoints for a dataset of image etalons has been developed. The usage of membership function values obtained by the results of fuzzy clustering is proposed, which makes it possible to calculate individual numerical characteristics for classification of the images being recognized. Mathematical and software classification models for data analysis based on the values of structural descriptions are developed, the properties and features of the usage of these models are investigated, and the effectiveness based on the results of processing specific images is evaluated. The classification efficiency using calculated weights for the descriptor system has been experimentally confirmed. Based on the research, it was concluded that classification technologies based on the fuzzy characteristics of etalon data are effective for compression of the space of structural features and reducing computational costs.
DIAPASON PROPERTIES OF RESONANT APERTURE SENSORS FOR MICROWAVE DIAGNOSTICS OF SMALL OBJECTS
793-801
10.1615/TelecomRadEng.v79.i9.60
Yu. Ye.
Gordienko
A.Ya. Usikov Institute for Radiophysics and Electronics of the National Academy of Sciences of Ukraine 12, Academician Proskura St., Kharkiv 61085, Ukraine; Kharkiv National University of Radio Engineering and Electronics, 14 Nauka Ave,
Kharkiv, 61166, Ukraine
Ihor M.
Shcherban
Kharkiv National University of Radio Engineering and Electronics, 14, Nauka Ave, Kharkiv, 61166, Ukraine
microwave diagnostics
coaxial aperture sensor
Q factor
resonant measuring converter
biological tissues
interfering factors
combined signal
The paper discusses the prospects of expanding the sensitivity range of the microwave diagnostics of small objects using resonant aperture sensors. To expand the range of values of e and tg5 of an object, that are controlled by a coaxial aperture sensor, it is proposed to variate the position of the probe tip relative to the edge of the aperture plane.
A new functional measurement scheme was used. In the AFC system, instead of modulating the frequency of the microwave oscillator, the resonating sensor was modulated, that affected the signal-to-noise ratio and registration of small signals positively.
Quantitative data are presented, which characterize the dependence of the Q factor of the microwave sensor and its output signals on the position of the tip relative to the plane of the coaxial aperture. The possibility of expanding the measurement range of ε and tg5 with a given accuracy is shown by introducing a tip inside the coaxial for large microwave losses in the object, tgδ >> 1, or leading it outside the aperture plane for small losses, tgδ <<. The efficiency of the developed sensor used for controlling the properties of various biological tissues and media is substantiated.
The invariance of the combined signal (ΔQ/Q) / (Δf/f) to the influence of interfering factors, due to a change in the geometry of the aperture node of the sensor and the position of the object relative to the plane of the aperture is shown.
The possibility of theoretical graduation of the discussed sensor is substantiated, which is based on the use of the combined signal (ΔQ/Q) / (Δf/f) and measurement at two values of the tip position.
SEARCH ENGINE OPTIMIZATION BASED ON INTELLIGENT ALGORITHM
803-812
10.1615/TelecomRadEng.v79.i9.70
J. M.
Li
Chongqing Electric Power College, 9 Wulongmiao, Jiulongpo District,
Chongqing 400053, China
intelligent algorithm
search engine
topic crawler
gray wolf algorithm
In order to adapt to the changes of users' needs, search engines need to be optimized. This study optimized the search engine by improving the performance of the topic crawler, designed a search engine based on intelligent algorithm, calculated the relevance of the topic by vector space model (VSM) method, optimized the search performance of the crawler by combining gray wolf optimizer (GWO) algorithm, and carried out experiments taking keywords of "education", "entertainment", and "art" as examples. The results showed that the accuracy of the method was 75.33% when the number of pages captured was 32.000, 21.76% higher than that of the ACO algorithm, the average accuracy of the three keywords was 76.26%, the average topic relevance was 35.09% higher than the ACO algorithm, and the coverage was also high. The experimental results show that the search engine designed in this study has better performance in web search and can be further applied in practice.
HARDWARE CIRCUIT IMPLEMENTATION OF MULTI-PRIORITY OPTIMIZED MAC PROTOCOL
813-827
10.1615/TelecomRadEng.v79.i9.80
H.
Li
Science and Technology Department, Yunnan University, 2 Cuihu N Rd,
Wuhua District, Kunming, Yunnan 650091, China
X.
Lu
School of Information, Yunnan University, Kunming, 650051, China
B.
Li
School of Information, Yunnan University, Kunming, 650051, China
H.
Ding
School of Information, Yunnan University, Kunming, 650051, China
L.
Wang
School of Information, Yunnan University, Kunming, 650051, China
L.
Bao
School of Information, Yunnan University, Kunming, 650051, China
Q.
Liu
School of Information, Yunnan University, Kunming, 650051, China
Y.
Zeng
School of Information, Yunnan Minzu University, Kunming, 650051, China
WSN
optimized CSMA
multiple priority
FPGA
Wireless sensor networks (WSN) have been widely used because of their self-organization and easy deployment. However, the imperfect media access control (MAC) protocol of wireless sensor networks consistently limits the reliability and propagation delay of network transmission. This paper optimizes the time slot allocation mechanism of the traditional competition-based MAC protocol. The optimized protocol achieves higher throughput and lower transmission delay. In addition, for multi-channel situations, in order to increase the utilization of limited bandwidth, multi-priority differentiated services mechanism was added. According to the optimized protocol principle, a multi-priority improved random multiple access control protocol based on FPGA is designed and implemented.