The Experts below are selected from a list of 297 Experts worldwide ranked by ideXlab platform
Ismail Guvenc - One of the best experts on this subject based on the ideXlab platform.
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VTC-Fall - Energy Harvesting in Unmanned Aerial Vehicle Networks with 3D Antenna Radiation Patterns
2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall), 2019Co-Authors: Esma Turgut, M. Cenk Gursoy, Ismail GuvencAbstract:In this paper, an analytical framework is provided to analyze the energy coverage performance of unmanned aerial vehicle (UAV) energy harvesting networks with clustered user equipments (UEs). Locations of UAVs are modeled as a Poison Point Process (PPP), while locations of UEs are modeled as a Poisson Cluster Process (PCP). Two different models are considered for the line-of-sight (LOS) probability function to compare their effect on the network performance. Moreover, ultra-wideband (UWB) Antennas with doughnut-shaped Radiation Patterns are employed in both UAVs and UEs, and the impact of practical 3D Antenna Radiation Patterns on the network performance is also investigated. Initially, the complementary cumulative distribution function (CCDF) and probability density function (PDF) of path losses for each tier are derived. Subsequently, association probabilities with each tier are obtained. Energy coverage probability is derived for the entire network using tools from stochastic geometry. Via numerical results, we show that UAV height and Antenna orientation play crucial roles on the energy coverage performance.
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impact of 3d Antenna Radiation Patterns on tdoa based wireless localization of uavs
arXiv: Signal Processing, 2019Co-Authors: Priyanka Sinha, Yavuz Yapici, Ismail GuvencAbstract:Next big commercial applications of drones require to fly the drone beyond the visual line of sight (BVLOS). This inevitable ability to fly BVLOS will also necessitate the ability to keep track of the drone's location, in order to ensure successful completion of the intended service. In this context, we explore the fundamental limits of 3D localization of drones in conjunction with the effects of the 3D Antenna Radiation Patterns. Although the localization of drone/unmanned aerial vehicle (UAV) is a well-studied topic in the literature, its relationship to the Antenna effects remains mostly unexplored. In this paper, we investigate the impact of Antenna Radiation pattern on the accuracy of time-difference-of-arrival (TDOA)-based localization of the UAV. Specifically, we consider a scenario where a fixed number of radio-frequency (RF) sensors, placed at some known locations on the ground, collect the TDOA measurements from the signals transmitted from the UAV and estimate the location of the UAV from these observations. In order to study the impact of the Antenna effects on the fundamental limits of the TDOA-based positioning scheme, we develop a simple analytical model to approximate the total Antenna gains experienced by an air-to-ground (A2G) link, for various orientations of the Antennas. We then derive the Cramer-Rao lower bound for the TDOA based localization scheme, for all three combinations of the transmit and the receive Antenna orientations: vertical-vertical (VV), horizontal-horizontal (HH), and vertical-horizontal (VH).
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INFOCOM Workshops - Impact of 3D Antenna Radiation Patterns on TDOA-Based Wireless Localization of UAVs
IEEE INFOCOM 2019 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), 2019Co-Authors: Priyanka Sinha, Yavuz Yapici, Ismail GuvencAbstract:Next big commercial applications of drones require to fly the drone beyond the visual line of sight (BVLOS). This inevitable ability to fly BVLOS will also necessitate the ability to keep track of the drone's location, in order to ensure successful completion of the intended service. In this context, we explore the fundamental limits of 3D localization of drones in conjunction with the effects of the 3D Antenna Radiation Patterns. Although localization of drone/unmanned aerial vehicle (UAV) is a well-studied topic in the literature, its relationship to the Antenna effects remains mostly unexplored. In this paper, we investigate the impact of Antenna Radiation pattern on the accuracy of time-difference-of-arrival (TDOA)-based localization of the UAV. Specifically, we consider a scenario where a fixed number of radio-frequency (RF) sensors, placed at some known locations on the ground, collect the TDOA measurements from the signals transmitted from the UAV, and estimate the location of the UAV from these observations. In order to study the impact of the Antenna effects on the fundamental limits of the TDOA-based positioning scheme, we develop a simple analytical model to approximate the total Antenna gains experienced by an air-to-ground (A2G) link, for various orientations of the Antennas. We then derive the Cramer-Rao lower bound for the TDOA based localization scheme, for all three combinations of the transmit and the receive Antenna orientations: vertical-vertical (VV), horizontal-horizontal (HH), and vertical-horizontal (VH).
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Energy Harvesting in Unmanned Aerial Vehicle Networks with 3D Antenna Radiation Patterns
2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall), 2019Co-Authors: Esma Turgut, Cenk M. Gursoy, Ismail GuvencAbstract:In this paper, an analytical framework is provided to analyze the energy coverage performance of unmanned aerial vehicle (UAV) energy harvesting networks with clustered user equipments (UEs). Locations of UAVs are modeled as a Poison Point Process (PPP), while locations of UEs are modeled as a Poisson Cluster Process (PCP). Two different models are considered for the line-of-sight (LOS) probability function to compare their effect on the network performance. Moreover, ultra-wideband (UWB) Antennas with doughnut-shaped Radiation Patterns are employed in both UAVs and UEs, and the impact of practical 3D Antenna Radiation Patterns on the network performance is also investigated. Initially, the complementary cumulative distribution function (CCDF) and probability density function (PDF) of path losses for each tier are derived. Subsequently, association probabilities with each tier are obtained. Energy coverage probability is derived for the entire network using tools from stochastic geometry. Via numerical results, we show that UAV height and Antenna orientation play crucial roles on the energy coverage performance.
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Impact of 3D Antenna Radiation Patterns on TDOA-Based Wireless Localization of UAVs
IEEE INFOCOM 2019 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), 2019Co-Authors: Priyanka Sinha, Yavuz Yapici, Ismail GuvencAbstract:Next big commercial applications of drones require to fly the drone beyond the visual line of sight (BVLOS). This inevitable ability to fly BVLOS will also necessitate the ability to keep track of the drone's location, in order to ensure successful completion of the intended service. In this context, we explore the fundamental limits of 3D localization of drones in conjunction with the effects of the 3D Antenna Radiation Patterns. Although localization of drone/unmanned aerial vehicle (UAV) is a well-studied topic in the literature, its relationship to the Antenna effects remains mostly unexplored. In this paper, we investigate the impact of Antenna Radiation pattern on the accuracy of time-difference-of-arrival (TDOA)-based localization of the UAV. Specifically, we consider a scenario where a fixed number of radio-frequency (RF) sensors, placed at some known locations on the ground, collect the TDOA measurements from the signals transmitted from the UAV, and estimate the location of the UAV from these observations. In order to study the impact of the Antenna effects on the fundamental limits of the TDOA-based positioning scheme, we develop a simple analytical model to approximate the total Antenna gains experienced by an air-to-ground (A2G) link, for various orientations of the Antennas. We then derive the Cramer-Rao lower bound for the TDOA based localization scheme, for all three combinations of the transmit and the receive Antenna orientations: vertical-vertical (VV), horizontal-horizontal (HH), and vertical-horizontal (VH).
Gabriel M. Rebeiz - One of the best experts on this subject based on the ideXlab platform.
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Millimeter-wave tapered-slot Antennas on synthesized low permittivity substrates
IEEE Transactions on Antennas and Propagation, 1999Co-Authors: Jeremy B. Muldavin, Gabriel M. RebeizAbstract:This paper presents 30-GHz linear-tapered slot Antennas (LTSA) and 94-GHz constant-width slot Antennas (CSWA) on synthesized low dielectric constant substrates (εr=2.2). The performance of tapered-slot Antennas (TSA) is sensitive to the effective thickness of the substrate. We have reduced the effective thickness by selectively machining holes in the dielectric substrate. The machined substrate Antenna Radiation Patterns were significantly improved independent of the machined hole size or lattice as long as the quasi-static effective thickness remained the same, even if the hole/lattice geometry is comparable to a wavelength. The method was applied at 94 GHz on a CSWA with excellent Radiation pattern improvement, making it suitable for f/1.6 imaging array applications
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Millimeter-wave tapered-slot Antennas on synthesized low permittivity substrates
IEEE Transactions on Antennas and Propagation, 1999Co-Authors: Jeremy B. Muldavin, Gabriel M. RebeizAbstract:This paper presents 30-GHz linear-tapered slot Antennas (LTSA) and 94-GHz constant-width slot Antennas (CSWA) on synthesized low dielectric constant substrates (/spl epsiv//sub r/=2.2). The performance of tapered-slot Antennas (TSA) is sensitive to the effective thickness of the substrate. We have reduced the effective thickness by selectively machining holes in the dielectric substrate. The machined substrate Antenna Radiation Patterns were significantly improved independent of the machined hole size or lattice as long as the quasi-static effective thickness remained the same, even if the hole/lattice geometry is comparable to a wavelength. The method was applied at 94 GHz on a CSWA with excellent Radiation pattern improvement, making it suitable for f/1.6 imaging array applications.
Jeremy B. Muldavin - One of the best experts on this subject based on the ideXlab platform.
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Millimeter-wave tapered-slot Antennas on synthesized low permittivity substrates
IEEE Transactions on Antennas and Propagation, 1999Co-Authors: Jeremy B. Muldavin, Gabriel M. RebeizAbstract:This paper presents 30-GHz linear-tapered slot Antennas (LTSA) and 94-GHz constant-width slot Antennas (CSWA) on synthesized low dielectric constant substrates (εr=2.2). The performance of tapered-slot Antennas (TSA) is sensitive to the effective thickness of the substrate. We have reduced the effective thickness by selectively machining holes in the dielectric substrate. The machined substrate Antenna Radiation Patterns were significantly improved independent of the machined hole size or lattice as long as the quasi-static effective thickness remained the same, even if the hole/lattice geometry is comparable to a wavelength. The method was applied at 94 GHz on a CSWA with excellent Radiation pattern improvement, making it suitable for f/1.6 imaging array applications
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Millimeter-wave tapered-slot Antennas on synthesized low permittivity substrates
IEEE Transactions on Antennas and Propagation, 1999Co-Authors: Jeremy B. Muldavin, Gabriel M. RebeizAbstract:This paper presents 30-GHz linear-tapered slot Antennas (LTSA) and 94-GHz constant-width slot Antennas (CSWA) on synthesized low dielectric constant substrates (/spl epsiv//sub r/=2.2). The performance of tapered-slot Antennas (TSA) is sensitive to the effective thickness of the substrate. We have reduced the effective thickness by selectively machining holes in the dielectric substrate. The machined substrate Antenna Radiation Patterns were significantly improved independent of the machined hole size or lattice as long as the quasi-static effective thickness remained the same, even if the hole/lattice geometry is comparable to a wavelength. The method was applied at 94 GHz on a CSWA with excellent Radiation pattern improvement, making it suitable for f/1.6 imaging array applications.
Esma Turgut - One of the best experts on this subject based on the ideXlab platform.
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VTC-Fall - Energy Harvesting in Unmanned Aerial Vehicle Networks with 3D Antenna Radiation Patterns
2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall), 2019Co-Authors: Esma Turgut, M. Cenk Gursoy, Ismail GuvencAbstract:In this paper, an analytical framework is provided to analyze the energy coverage performance of unmanned aerial vehicle (UAV) energy harvesting networks with clustered user equipments (UEs). Locations of UAVs are modeled as a Poison Point Process (PPP), while locations of UEs are modeled as a Poisson Cluster Process (PCP). Two different models are considered for the line-of-sight (LOS) probability function to compare their effect on the network performance. Moreover, ultra-wideband (UWB) Antennas with doughnut-shaped Radiation Patterns are employed in both UAVs and UEs, and the impact of practical 3D Antenna Radiation Patterns on the network performance is also investigated. Initially, the complementary cumulative distribution function (CCDF) and probability density function (PDF) of path losses for each tier are derived. Subsequently, association probabilities with each tier are obtained. Energy coverage probability is derived for the entire network using tools from stochastic geometry. Via numerical results, we show that UAV height and Antenna orientation play crucial roles on the energy coverage performance.
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Energy Harvesting in Unmanned Aerial Vehicle Networks with 3D Antenna Radiation Patterns
2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall), 2019Co-Authors: Esma Turgut, Cenk M. Gursoy, Ismail GuvencAbstract:In this paper, an analytical framework is provided to analyze the energy coverage performance of unmanned aerial vehicle (UAV) energy harvesting networks with clustered user equipments (UEs). Locations of UAVs are modeled as a Poison Point Process (PPP), while locations of UEs are modeled as a Poisson Cluster Process (PCP). Two different models are considered for the line-of-sight (LOS) probability function to compare their effect on the network performance. Moreover, ultra-wideband (UWB) Antennas with doughnut-shaped Radiation Patterns are employed in both UAVs and UEs, and the impact of practical 3D Antenna Radiation Patterns on the network performance is also investigated. Initially, the complementary cumulative distribution function (CCDF) and probability density function (PDF) of path losses for each tier are derived. Subsequently, association probabilities with each tier are obtained. Energy coverage probability is derived for the entire network using tools from stochastic geometry. Via numerical results, we show that UAV height and Antenna orientation play crucial roles on the energy coverage performance.
L. Kulas - One of the best experts on this subject based on the ideXlab platform.
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IPIN - RSS-Based DoA Estimation Using ESPAR Antenna Radiation Patterns Spline Interpolation
2018 International Conference on Indoor Positioning and Indoor Navigation (IPIN), 2018Co-Authors: M. Groth, K. Nyka, L. KulasAbstract:In this paper, it is shown how power pattern crosscorrelation (PPCC) algorithm, which relies on received signal strength (RSS) values recorded at electronically steerable parasitic array radiator (ESPAR) Antenna output port, used for direction-of-arrival (DoA) estimation, can easily be improved by applying spline interpolation to Radiation Patterns recorded in the calibration phase of the DoA estimation process. The proposed method allows one to measure ESPAR Antenna's Radiation Patterns during the initial calibration phase with much coarser angular resolution than required for linearly interpolated Radiation Patterns. Simulation results indicate that the overall DoA estimation accuracy can be kept at the similar level even for a few number of points, which, when applied in anechoic chamber calibration procedure of wireless sensor network (WSN) nodes equipped with ESPAR Antennas, will have a noticeable influence on the overall calibration time and therefore also on deployment costs in practical WSN applications.
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Influence of ESPAR Antenna Radiation Patterns shape on PPCC-based DoA estimation accuracy
2018 22nd International Microwave and Radar Conference (MIKON), 2018Co-Authors: M. Rzymowski, L. KulasAbstract:In the article, we show the influence of three different electronically steerable parasitic array radiator (ESPAR) Antenna Radiation Patterns on the overall direction of arrival (DoA) estimation accuracy when power-pattern cross-correlation (PPCC) algorithm, relying on received signal strength (RSS) values, is used for the estimation. The ESPAR Antenna designs were obtained for three optimization goals, which resulted in different Radiation Patterns. To check the applicability of every ESPAR Antenna to wireless sensor network (WSN) applications, we have verified their achievable DoA estimation accuracy in numerical tests. The results indicate, that it is possible to provide an ESPAR Antenna design for WSN applications, which have narrow Radiation pattern and also provide acceptable DoA estimation accuracy.
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RSS-Based DoA Estimation Using ESPAR Antenna Radiation Patterns Spline Interpolation
2018 International Conference on Indoor Positioning and Indoor Navigation (IPIN), 2018Co-Authors: M. Groth, K. Nyka, L. KulasAbstract:In this paper, it is shown how power pattern crosscorrelation (PPCC) algorithm, which relies on received signal strength (RSS) values recorded at electronically steerable parasitic array radiator (ESPAR) Antenna output port, used for direction-of-arrival (DoA) estimation, can easily be improved by applying spline interpolation to Radiation Patterns recorded in the calibration phase of the DoA estimation process. The proposed method allows one to measure ESPAR Antenna's Radiation Patterns during the initial calibration phase with much coarser angular resolution than required for linearly interpolated Radiation Patterns. Simulation results indicate that the overall DoA estimation accuracy can be kept at the similar level even for a few number of points, which, when applied in anechoic chamber calibration procedure of wireless sensor network (WSN) nodes equipped with ESPAR Antennas, will have a noticeable influence on the overall calibration time and therefore also on deployment costs in practical WSN applications.
