M. Nuzhnov, A. Baev, M. Konovalyuk, A. Gorbunova, Y. Kuznetsov, W. Sidina
{"title":"Detection of Cyclostationary Electromagnetic Emissions Using Degree of Cyclostationarity","authors":"M. Nuzhnov, A. Baev, M. Konovalyuk, A. Gorbunova, Y. Kuznetsov, W. Sidina","doi":"10.23919/URSI48707.2020.9253755","DOIUrl":"https://doi.org/10.23919/URSI48707.2020.9253755","url":null,"abstract":"Detection and localization of physical radiating sources allows to allocate hotspots with substantial emitting power on the surface of the printed circuit board (PCB) of the electronic device. Electromagnetic emissions caused by data transferring signals can be mathematically described by cyclostationary stochastic processes. The optimal detection of cyclostationary stochastic process with known two-dimensional autocorrelation function (ACF) assumes two-dimensional crosscorrelation between the shifted product of the stochastic process and relevant ACF. The proposed detection algorithm is based on the degree of cyclostationarity (DCS), defining by comparison of evaluated ACFs obtained from the measured realizations of stochastic process. Experimental verification of the proposed algorithm was implemented by near-field scanning of two spatially distributed sources with different cyclic frequencies on the surface of the PCB.","PeriodicalId":185201,"journal":{"name":"2020 Baltic URSI Symposium (URSI)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126629628","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}
{"title":"Simplified human body models for wearable antenna impedance simulations and measurements","authors":"Pawel Oleksy, Ł. Januszkiewicz, Jarosław Kawecki","doi":"10.23919/URSI48707.2020.9254060","DOIUrl":"https://doi.org/10.23919/URSI48707.2020.9254060","url":null,"abstract":"Wireless Body Area Networks operate in the proximity of human body. This is complex environment that affects the operation of wearable antennas changing their input impedance. This effect can be simulated with numerical models of human body. For the sake of prototype antenna measurements the physical model is used that should correspond to the numerical one as well as to the body of human subject. In this paper a simplified numerical and physical model of human body for antenna input impedance analysis is presented. It is suitable for computer simulation because it has reduced size and complexity. At the same time, its physical equivalent is easy in fabrication due to the selection of available materials. The results of numerical simulations and measurements of antenna impedance mismatch performed with this model are in good correspondence to the results of measurements obtained with human subject.","PeriodicalId":185201,"journal":{"name":"2020 Baltic URSI Symposium (URSI)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122390049","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}
{"title":"Some Remarks on Maximum Likelihood Estimation in Alpha-Stable Environment","authors":"Z. Gajo","doi":"10.23919/URSI48707.2020.9254052","DOIUrl":"https://doi.org/10.23919/URSI48707.2020.9254052","url":null,"abstract":"This paper concerns the problem of maximum likelihood (ML) estimation in the case of impulsive observations modeled by heavy-tailed $alpha$-stable distributions. To describe analytically the cost function in ML estimation criterion the Fox function representation of $alpha$-stable distributions is used.","PeriodicalId":185201,"journal":{"name":"2020 Baltic URSI Symposium (URSI)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123846851","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}
Alicja Olejniczak, Olga Blaszkiewicz, K. Cwalina, Piotr Rajchowski, J. Sadowski
{"title":"Deep Learning Approach for LOS and NLOS Identification in the Indoor Environment","authors":"Alicja Olejniczak, Olga Blaszkiewicz, K. Cwalina, Piotr Rajchowski, J. Sadowski","doi":"10.23919/URSI48707.2020.9253757","DOIUrl":"https://doi.org/10.23919/URSI48707.2020.9253757","url":null,"abstract":"Due to confined spaces and various obstacles e.g. walls, furniture, indoor environment may be considered as a harsh and disturbing in terms of the indoor radiocommunication services operation. The given paper presents FNN (Feedforward Neural Network) method for LOS (Line-Of-Sight) and NLOS (Non-Line-Of-Sight) identification which may support mitigation of such a negative influence. Described FNN architecture was evaluated based on a real indoor measurements collected with the use of the UWB (Ultra Wideband) radio modules.","PeriodicalId":185201,"journal":{"name":"2020 Baltic URSI Symposium (URSI)","volume":"273 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124410480","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}
M. Kafarski, J. Majcher, A. Szypłowska, A. Lewandowski, A. Wilczek, W. Skierucha
{"title":"Dependence of profile probe sensitivity zone on probe diameters","authors":"M. Kafarski, J. Majcher, A. Szypłowska, A. Lewandowski, A. Wilczek, W. Skierucha","doi":"10.23919/URSI48707.2020.9254057","DOIUrl":"https://doi.org/10.23919/URSI48707.2020.9254057","url":null,"abstract":"Monitoring volumetric water content (VWC) at several depths in the soil profile can be performed using either a few soil moisture sensors placed at various depths or a profile probe. The use of a profile probe is less disturbing to the soil, less laborious more convenient, and more cost-effective. The objective of the paper is to estimate the dependence of the depth of the sensitivity zone of a single section of a profile probe working in the time-domain transmission mode (P-TDT probe) on the probe's diameters. This issue was assessed with the use of the finite element method (FEM) simulations in the frequency domain. The scattering parameters matrices obtained in the simulations were transformed to the time domain. Based on the results, the depth of the sensitivity zone was estimated for different probe diameters. It was concluded that the effective soil volume measured by the profile probe of a given geometries is in range 14.3 to 30.9 mm around the tested probe.","PeriodicalId":185201,"journal":{"name":"2020 Baltic URSI Symposium (URSI)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116227009","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}
{"title":"Geometry Details of Inertial Microsensors Influenced on Their Performance","authors":"J. Nazdrowicz, A. Stawinski, A. Napieralski","doi":"10.23919/URSI48707.2020.9254064","DOIUrl":"https://doi.org/10.23919/URSI48707.2020.9254064","url":null,"abstract":"In the paper authors take into consideration results of analysis both MEMS accelerometers and gyroscopes under performance that can be changed by some geometry details modifications. Authors consider different types of shapes of springs to show, how they influence the total device operations. These springs are used in both vibratory sensors – accelerometers and gyroscopes. Because principle of operation of both sensors is based on vibratory system response, frequencies play main role in performance assessment. Fundamental quantities which are used for that are natural frequencies and Q-factors. They depend strongly on particular substructures of whole device geometry (because of variation of spring constant and damping coefficients).","PeriodicalId":185201,"journal":{"name":"2020 Baltic URSI Symposium (URSI)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130595348","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}
A. Kaszuba-Checinska, R. Checinski, P. Gajewski, J. Łopatka
{"title":"Interference Resistant Waveform for Cognitive Radio MANET","authors":"A. Kaszuba-Checinska, R. Checinski, P. Gajewski, J. Łopatka","doi":"10.23919/URSI48707.2020.9254041","DOIUrl":"https://doi.org/10.23919/URSI48707.2020.9254041","url":null,"abstract":"The problem of waveforms constructing for mobile ad hoc networks with cognitive radio (MANET-CR) is discussed. This is one of the main questions limiting widely use this very attractive technique, that not need deployment of expensive communication infrastructure. The paper presents the structure of CR nodes with complex management procedures, using advanced Dynamic Spectrum Management together with the concept of policy-based radio. Here, the basic policy is to avoid interference generated by other users or interfering devices. The experiments were performed in a real environment, using the elaborated testbed. The results show that the use of sensing and cognitive management mechanisms enables more efficient use of the spectrum while maintaining reasonable overhead values related to the management procedures.","PeriodicalId":185201,"journal":{"name":"2020 Baltic URSI Symposium (URSI)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132214030","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}
{"title":"Low-Cost Design Optimization of Antennas with Peripheral Components","authors":"A. Bekasiewicz, S. Koziel","doi":"10.23919/URSI48707.2020.9254063","DOIUrl":"https://doi.org/10.23919/URSI48707.2020.9254063","url":null,"abstract":"Antennas belong to the key components of wireless communication devices. Strict design specifications imposed on modern systems can be fulfilled only by complex antenna structures. Their computational models have to be of high fidelity to ensure reliability, i.e., sufficient agreement between simulations and physical measurements of the fabricated prototypes. A prerequisite for that is utilization of full-wave EM analysis but also incorporation of the peripheral components. EM-driven design of high-fidelity models using conventional optimization algorithms is often impractical due to high computational cost entailed by a large number of simulations required to find a desired solution. In this work, a low-cost optimization of antenna structure with peripheral components is discussed. The performance of the presented approach is demonstrated using a bandwidth-enhanced quasi-patch antenna optimized to maximize the gain while maintaining acceptable in-band reflection. The results indicate a fifty-percent reduction of the design cost compared to a benchmark algorithm.","PeriodicalId":185201,"journal":{"name":"2020 Baltic URSI Symposium (URSI)","volume":"09 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127454042","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}