Pub Date : 2019-04-01DOI: 10.1109/radioelek.2019.8733464
{"title":"RADIOELEKTRONIKA 2019 Index of Authors","authors":"","doi":"10.1109/radioelek.2019.8733464","DOIUrl":"https://doi.org/10.1109/radioelek.2019.8733464","url":null,"abstract":"","PeriodicalId":336454,"journal":{"name":"2019 29th International Conference Radioelektronika (RADIOELEKTRONIKA)","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128021823","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-04-01DOI: 10.1109/RADIOELEK.2019.8733505
Bezoušek Pavel, D. Matousek, L. Rejfek
In this paper the high-power amplifier CGHV31500F designed for the radar S-Band application is studied. The amplifier module is based on GaN HEMT encapsulated internally matched transistor, delivering more than 500 W in a pulse regime. Nonlinear model of this amplifier was developed and nonlinear distortion of a standard radar signal and of possible future QAM signals are predicted.
{"title":"Nonlinear Distortion in a Microwave High Power Amplifier","authors":"Bezoušek Pavel, D. Matousek, L. Rejfek","doi":"10.1109/RADIOELEK.2019.8733505","DOIUrl":"https://doi.org/10.1109/RADIOELEK.2019.8733505","url":null,"abstract":"In this paper the high-power amplifier CGHV31500F designed for the radar S-Band application is studied. The amplifier module is based on GaN HEMT encapsulated internally matched transistor, delivering more than 500 W in a pulse regime. Nonlinear model of this amplifier was developed and nonlinear distortion of a standard radar signal and of possible future QAM signals are predicted.","PeriodicalId":336454,"journal":{"name":"2019 29th International Conference Radioelektronika (RADIOELEKTRONIKA)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132637738","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-04-01DOI: 10.1109/RADIOELEK.2019.8733586
M. Stork
In this paper the experiments with two or more mutually coupled phase locked loops (PLL) are described. The different types of coupled PLLs are simulated and results are confirmed by measuring in real systems. The experiments include analog and digital PLLs and simulation. In this paper only 2 coupled PLLs are simulated and measured.
{"title":"Experiments with Coupled Phase Locked Loops","authors":"M. Stork","doi":"10.1109/RADIOELEK.2019.8733586","DOIUrl":"https://doi.org/10.1109/RADIOELEK.2019.8733586","url":null,"abstract":"In this paper the experiments with two or more mutually coupled phase locked loops (PLL) are described. The different types of coupled PLLs are simulated and results are confirmed by measuring in real systems. The experiments include analog and digital PLLs and simulation. In this paper only 2 coupled PLLs are simulated and measured.","PeriodicalId":336454,"journal":{"name":"2019 29th International Conference Radioelektronika (RADIOELEKTRONIKA)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130600972","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-04-01DOI: 10.1109/RADIOELEK.2019.8733589
Tom Bielik, B. Adamec, V. Hottmar
In this research, the design and practical realization of microstrip Band-Stop (BS) filter using FR-4 substrate is presented. FR-4 is low-cost substrate with varying dielectric constant, especially at higher frequencies. Therefore, the measurement of FR-4 dielectric constant based on open resonant cavity method is used. Various samples of Printed Circuit Boards (PCB) were used for measurement. The results acquired from measurements of PCBs were different for each piece of PCB. Finally, it turned out that precision of measurement method is dependent on geometric dimensions of PCBs. Obtained frequency dependent dielectric constant improves accuracy of mathematical model of BS filter created in MATLAB. This model also includes attenuation losses in both copper and substrate materials. For verification of filter model created in MATLAB, scattering parameters of various filter models were compared with scattering parameters of same models obtained from full-wave Electro-Magnetic (EM) simulator. One of these BS filter configurations was practically realized. Scattering parameters of MATLAB filter models, filter models created in full-wave EM simulator and practically realized BS filter are in very good agreement.
{"title":"Determination of FR-4 Dielectric Constant for Design of Microstrip Band-Stop Filter Purposes","authors":"Tom Bielik, B. Adamec, V. Hottmar","doi":"10.1109/RADIOELEK.2019.8733589","DOIUrl":"https://doi.org/10.1109/RADIOELEK.2019.8733589","url":null,"abstract":"In this research, the design and practical realization of microstrip Band-Stop (BS) filter using FR-4 substrate is presented. FR-4 is low-cost substrate with varying dielectric constant, especially at higher frequencies. Therefore, the measurement of FR-4 dielectric constant based on open resonant cavity method is used. Various samples of Printed Circuit Boards (PCB) were used for measurement. The results acquired from measurements of PCBs were different for each piece of PCB. Finally, it turned out that precision of measurement method is dependent on geometric dimensions of PCBs. Obtained frequency dependent dielectric constant improves accuracy of mathematical model of BS filter created in MATLAB. This model also includes attenuation losses in both copper and substrate materials. For verification of filter model created in MATLAB, scattering parameters of various filter models were compared with scattering parameters of same models obtained from full-wave Electro-Magnetic (EM) simulator. One of these BS filter configurations was practically realized. Scattering parameters of MATLAB filter models, filter models created in full-wave EM simulator and practically realized BS filter are in very good agreement.","PeriodicalId":336454,"journal":{"name":"2019 29th International Conference Radioelektronika (RADIOELEKTRONIKA)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124318980","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-04-01DOI: 10.1109/RADIOELEK.2019.8733410
Christian Zeintl, F. Eibensteiner, J. Langer
In industrial environments the operating time of equipment is a critical factor. Through predicitve maintenance the necessary inspection tasks that require machine downtimes are minimized. For industrial fans that evacuate very hot mediums or air with a high content of abrasive dust or particulates there is currently no possibility to reliably sense the wear and tear of the fan blades during operation. This work investigates the use of a radar sensor for estimating the wear of such fans by sensing vibrations and rotational imbalances. For this task a frequency modulated continuous wave (FMCW) radar sensor is evaluated and suitable signal processing algorithms are developed to extract the desired information. Furthermore, the optimal sensing position, modulation waveform and fan optimizations are considered. This paper focuses on the basic signal processing techniques necessary as well as the measurement setup, simulations and first measurement evaluations.
{"title":"Evaluation of FMCW Radar for Vibration Sensing in Industrial Environments","authors":"Christian Zeintl, F. Eibensteiner, J. Langer","doi":"10.1109/RADIOELEK.2019.8733410","DOIUrl":"https://doi.org/10.1109/RADIOELEK.2019.8733410","url":null,"abstract":"In industrial environments the operating time of equipment is a critical factor. Through predicitve maintenance the necessary inspection tasks that require machine downtimes are minimized. For industrial fans that evacuate very hot mediums or air with a high content of abrasive dust or particulates there is currently no possibility to reliably sense the wear and tear of the fan blades during operation. This work investigates the use of a radar sensor for estimating the wear of such fans by sensing vibrations and rotational imbalances. For this task a frequency modulated continuous wave (FMCW) radar sensor is evaluated and suitable signal processing algorithms are developed to extract the desired information. Furthermore, the optimal sensing position, modulation waveform and fan optimizations are considered. This paper focuses on the basic signal processing techniques necessary as well as the measurement setup, simulations and first measurement evaluations.","PeriodicalId":336454,"journal":{"name":"2019 29th International Conference Radioelektronika (RADIOELEKTRONIKA)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132301035","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-04-01DOI: 10.1109/RADIOELEK.2019.8733573
S. Slovák, P. Galajda, M. Sokol, M. Pecovský
This paper deals with the receiver for sampling and preprocessing the wideband signals. These signals are wide in the meaning of its spectrum, e.g. very short impulses, in our case the M-sequence modulated continuous wave signals (MMCW). Conversion of the wideband signals like M-sequence is not a trivial task. Devices that are driven with this type of MMCW signals usually operates in the frequency band nearly from DC up to 20 GHz. It is an ultra-wide frequency band (UWB) specified by the Electronic Communication Committee (ECC) or the Federal Communications Commission (FCC). For the processing of these signals, sampling in equivalent time is used. This principle, as well as the individual components of the receiver, are explained in this article. The results from measurements and simulations of the dynamic, AC, DC and nonlinear characteristics are presented as well.
本文讨论了宽带信号的采样和预处理接收机。这些信号在其频谱的意义上是宽的，例如，非常短的脉冲，在我们的情况下是m序列调制连续波信号(MMCW)。像m序列这样的宽带信号的转换不是一项简单的任务。用这种类型的MMCW信号驱动的设备通常工作在从直流到20 GHz的频带内。它是由ECC (Electronic Communication Committee)或FCC (Federal Communications Commission)指定的超宽带(UWB)频段。对于这些信号的处理，采用等效时间采样。本文将解释这一原理以及接收器的各个组成部分。并给出了动态特性、交流特性、直流特性和非线性特性的测量和仿真结果。
{"title":"Wideband Receiver for UWB Radars","authors":"S. Slovák, P. Galajda, M. Sokol, M. Pecovský","doi":"10.1109/RADIOELEK.2019.8733573","DOIUrl":"https://doi.org/10.1109/RADIOELEK.2019.8733573","url":null,"abstract":"This paper deals with the receiver for sampling and preprocessing the wideband signals. These signals are wide in the meaning of its spectrum, e.g. very short impulses, in our case the M-sequence modulated continuous wave signals (MMCW). Conversion of the wideband signals like M-sequence is not a trivial task. Devices that are driven with this type of MMCW signals usually operates in the frequency band nearly from DC up to 20 GHz. It is an ultra-wide frequency band (UWB) specified by the Electronic Communication Committee (ECC) or the Federal Communications Commission (FCC). For the processing of these signals, sampling in equivalent time is used. This principle, as well as the individual components of the receiver, are explained in this article. The results from measurements and simulations of the dynamic, AC, DC and nonlinear characteristics are presented as well.","PeriodicalId":336454,"journal":{"name":"2019 29th International Conference Radioelektronika (RADIOELEKTRONIKA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126466612","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-04-01DOI: 10.1109/RADIOELEK.2019.8733555
Bohumil Brtnik
Signal-flow graph (SFG) technique is very useful tool for the hand analysis of small and medium-size networks and/or subnetworks of large systems. Last days the SFG´s have been effectively used for the sensitivity solutions. There is described comparison between methods for derivation transfer function: nullor modified Coates flow graph symbolic analysis and the two graph method for symbolic analysis. There is shown graph modified by nodal voltage method with intermediate numeric step, as well. As is given, in some cases the two graph method thanks its clarity is more useful.
{"title":"Comparison of the Methods of Graphical Solution of Symbolic Sensitivity","authors":"Bohumil Brtnik","doi":"10.1109/RADIOELEK.2019.8733555","DOIUrl":"https://doi.org/10.1109/RADIOELEK.2019.8733555","url":null,"abstract":"Signal-flow graph (SFG) technique is very useful tool for the hand analysis of small and medium-size networks and/or subnetworks of large systems. Last days the SFG´s have been effectively used for the sensitivity solutions. There is described comparison between methods for derivation transfer function: nullor modified Coates flow graph symbolic analysis and the two graph method for symbolic analysis. There is shown graph modified by nodal voltage method with intermediate numeric step, as well. As is given, in some cases the two graph method thanks its clarity is more useful.","PeriodicalId":336454,"journal":{"name":"2019 29th International Conference Radioelektronika (RADIOELEKTRONIKA)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127739325","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-04-01DOI: 10.1109/RADIOELEK.2019.8733580
Dávid Hrabčák, L. Dobos, J. Papaj
In this paper, the concept o 2-Layer routing for wireless 5G networks is presented. A new fifth generation of the network along with the platform known as the Internet of Things (IoT) are an upcoming trend not only in the commercial market but also in the research area. The 5G networks and IoT will be part of smart homes, smart cities and every aspect of our lives. They are considered as a promising technology, that interconnects different types of existing networks into one functional network. In this paper, a brief vision of utilization and areas of deployment of 2-Layered network model consisted of Wireless Sensor Network (WSN) and Mobile Ad-Hoc Network (MANET) is described along with communication technologies and protocols needed for the functionality of 2-Layered model. Presented simulations prove that interconnection of MANET network with WSN network provides faster data delivery and higher data rates than traditional WSN network since MANET nodes are able to carry data load from WSN sensors. Therefore, utilization of presented 2-Layered model will be useful in disaster scenarios or data harvesting, when urgent data needs to be delivered quickly.
{"title":"The Concept of 2-Layer Routing for Wireless 5G Networks and Beyond","authors":"Dávid Hrabčák, L. Dobos, J. Papaj","doi":"10.1109/RADIOELEK.2019.8733580","DOIUrl":"https://doi.org/10.1109/RADIOELEK.2019.8733580","url":null,"abstract":"In this paper, the concept o 2-Layer routing for wireless 5G networks is presented. A new fifth generation of the network along with the platform known as the Internet of Things (IoT) are an upcoming trend not only in the commercial market but also in the research area. The 5G networks and IoT will be part of smart homes, smart cities and every aspect of our lives. They are considered as a promising technology, that interconnects different types of existing networks into one functional network. In this paper, a brief vision of utilization and areas of deployment of 2-Layered network model consisted of Wireless Sensor Network (WSN) and Mobile Ad-Hoc Network (MANET) is described along with communication technologies and protocols needed for the functionality of 2-Layered model. Presented simulations prove that interconnection of MANET network with WSN network provides faster data delivery and higher data rates than traditional WSN network since MANET nodes are able to carry data load from WSN sensors. Therefore, utilization of presented 2-Layered model will be useful in disaster scenarios or data harvesting, when urgent data needs to be delivered quickly.","PeriodicalId":336454,"journal":{"name":"2019 29th International Conference Radioelektronika (RADIOELEKTRONIKA)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126078611","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-04-01DOI: 10.1109/RADIOELEK.2019.8733432
S. Pandey, H. S. Shekhawat, S. Prasanna
This paper presents an introduction to various deep learning techniques with the aim of capturing and classifying emotional state from speech utterances. Architectures such as Convolutional Neural Network(CNN) and Long Short-Term Memory(LSTM) have been used to test the emotion capturing capability from various standard speech represenations such as mel spectrogram, magnitude spectrogram and Mel-Frequency Cepstral Coefficients (MFCC’s) on two popular datasets- EMO-DB and IEMOCAP. Experimental findings along with reasoning have been presented as to which architecture and feature combination is better suited for the purpose of speech emotion recognition. This work explores the widely used basic deep learning architectures used in literature.
{"title":"Deep Learning Techniques for Speech Emotion Recognition: A Review","authors":"S. Pandey, H. S. Shekhawat, S. Prasanna","doi":"10.1109/RADIOELEK.2019.8733432","DOIUrl":"https://doi.org/10.1109/RADIOELEK.2019.8733432","url":null,"abstract":"This paper presents an introduction to various deep learning techniques with the aim of capturing and classifying emotional state from speech utterances. Architectures such as Convolutional Neural Network(CNN) and Long Short-Term Memory(LSTM) have been used to test the emotion capturing capability from various standard speech represenations such as mel spectrogram, magnitude spectrogram and Mel-Frequency Cepstral Coefficients (MFCC’s) on two popular datasets- EMO-DB and IEMOCAP. Experimental findings along with reasoning have been presented as to which architecture and feature combination is better suited for the purpose of speech emotion recognition. This work explores the widely used basic deep learning architectures used in literature.","PeriodicalId":336454,"journal":{"name":"2019 29th International Conference Radioelektronika (RADIOELEKTRONIKA)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121084636","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-04-01DOI: 10.1109/RADIOELEK.2019.8733566
O. Fiser, T. Gotthans
High performance amplifiers are always a demanding component in the world of wireless communication. The amplifier is the heart that drives each radio system. We have designed and developed a high performance one-stage class-B GaN power amplifier for drone applications in the S-band (at 1,6 GHz) with maximum output power 6 W. This paper compares fixed settings of the bias point option and optimized bias point for the best efficiency within the entire output power range. Applying the proposed method, that is particularly advantageous for low power performance to improve efficiency by more than 15 %.
{"title":"Optimizing Bias Point of High Efficiency Class-B GaN Power Amplifier for the Best Efficiency","authors":"O. Fiser, T. Gotthans","doi":"10.1109/RADIOELEK.2019.8733566","DOIUrl":"https://doi.org/10.1109/RADIOELEK.2019.8733566","url":null,"abstract":"High performance amplifiers are always a demanding component in the world of wireless communication. The amplifier is the heart that drives each radio system. We have designed and developed a high performance one-stage class-B GaN power amplifier for drone applications in the S-band (at 1,6 GHz) with maximum output power 6 W. This paper compares fixed settings of the bias point option and optimized bias point for the best efficiency within the entire output power range. Applying the proposed method, that is particularly advantageous for low power performance to improve efficiency by more than 15 %.","PeriodicalId":336454,"journal":{"name":"2019 29th International Conference Radioelektronika (RADIOELEKTRONIKA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130977301","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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