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Item type:Publication, Access status: without files , A scalable, low-cost, V-band Bulls Eye antennaThis paper presents a design approach that facilitates the integration of Bulls Eye antennas into conventional printed circuit board design, which reduces the manufacturing cost of planar high-gain antennas. The antenna is composed of a transversal substrate integrated waveguide feed slot and a 3D-printed Bulls Eye antenna with elliptical corrugations. The depth of the grooves is modulated over the aperture of the antenna. The antenna has a gain of 21.9 dBi in simulation and 18.12 dBi in measurement.Publicationtype: Conference Paper101 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: without files , Effective permittivity determination procedure for 3D-printed dielectric lensesThis work extends the usual design process of dielectric lenses by introducing a novel procedure for determining the effective permittivity of 3D-printed dielectric lenses. A determination lens with a significant side lobe characteristic is designed to determine the effective permittivity while accounting for the specific influences of the 3D-printing process. By using the obtained permittivity value, the lens design can be optimized to achieve a desired performance. A gain accuracy of 0.15 dBi and an SLL accuracy of less than 2.2 dBi is achieved. This procedure integrates seamlessly into the dielectric lens development process, enhancing its accuracy and reliability.Publicationtype: Conference Paper51 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: without files , 3D-printed Pickett-Potter horn with a sine-squared antenna profile(IEEE, 2025-09); ; ; ; This contribution discusses a design approach for Pickett-Potter horn antennas optimized for additive manufacturing. A hybrid approach combines a sine-squared antenna profile with a discrete step for mode conversion, enabling easier manufacturing while achieving a highly Gaussian radiation characteristic. A V-band antenna is designed, optimized and manufactured. Far-field measurements validate the proposed approach.Publicationtype: Conference Paper103 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: without files , 3D-printed Pickett-Potter horn with a sine-squared antenna profile(IEEE, 2025-09); ; ; ; This contribution discusses a design approach for Pickett-Potter horn antennas optimized for additive manufacturing. A hybrid approach combines a sine-squared antenna profile with a discrete step for mode conversion, enabling easier manufacturing while achieving a highly Gaussian radiation characteristic. A V-band antenna is designed, optimized and manufactured. Far-field measurements validate the proposed approach.Publicationtype: Conference Paper25 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: without files , Data-driven path loss estimation in human body communication: enhancing efficiency via parameter prioritization and transfer learningThis work proposes an efficient machine learning approach for path loss estimation in human body communication, focusing on in-body (IB) and on-body (OB) scenarios. Friis' formula and surface wave-based model often have limitations, especially considering variations in electrical properties (EPs), antenna placement, and propagation effects. Here, artificial neural networks (ANNs) are used with parameter prioritization and transfer learning to enhance efficiency. An IB-to-OB link (10 MHz-50 MHz) is analyzed, demonstrating that ANN achieves about 80% accuracy with limited data. OB-to-IB communication at 13.56 MHz, 2.45 GHz, and 5.8 GHz is investigated, incorporating EP and antenna orientation variations. Results show ANN with prioritization reduces input parameters by 70%, maintaining up to 95% accuracy. Additionally, transfer learning enables path loss prediction for 5.8 GHz scenario using a pre-trained 2.45 GHz dataset, achieving over 93% accuracy, significantly reducing computational needs.Publicationtype: Conference Paper35 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: without files , Effective permittivity determination procedure for 3D-printed dielectric lensesThis work extends the usual design process of dielectric lenses by introducing a novel procedure for determining the effective permittivity of 3D-printed dielectric lenses. A determination lens with a significant side lobe characteristic is designed to determine the effective permittivity while accounting for the specific influences of the 3D-printing process. By using the obtained permittivity value, the lens design can be optimized to achieve a desired performance. A gain accuracy of 0.15 dBi and an SLL accuracy of less than 2.2 dBi is achieved. This procedure integrates seamlessly into the dielectric lens development process, enhancing its accuracy and reliability.Publicationtype: Conference Paper23 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: without files , Data-driven path loss estimation in human body communication: enhancing efficiency via parameter prioritization and transfer learningThis work proposes an efficient machine learning approach for path loss estimation in human body communication, focusing on in-body (IB) and on-body (OB) scenarios. Friis' formula and surface wave-based model often have limitations, especially considering variations in electrical properties (EPs), antenna placement, and propagation effects. Here, artificial neural networks (ANNs) are used with parameter prioritization and transfer learning to enhance efficiency. An IB-to-OB link (10 MHz-50 MHz) is analyzed, demonstrating that ANN achieves about 80% accuracy with limited data. OB-to-IB communication at 13.56 MHz, 2.45 GHz, and 5.8 GHz is investigated, incorporating EP and antenna orientation variations. Results show ANN with prioritization reduces input parameters by 70%, maintaining up to 95% accuracy. Additionally, transfer learning enables path loss prediction for 5.8 GHz scenario using a pre-trained 2.45 GHz dataset, achieving over 93% accuracy, significantly reducing computational needs.Publicationtype: Conference Paper8 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: without files , Fast determination of the monostatic radar channel in the near-field of electrically large targetsThis contribution addresses the determination of the radar channel when operating in the near field of electrically large targets, which is a common scenario in modern short-range radar applications such as vital-sign sensing. With the focus on computational simplicity and the inclusion of near-field scattering phenomena, the proposed approach combines physical optics (PO) concepts and the far-field radiation pattern of the radar antenna to determine both amplitude and phase of the receive signal. The numerical implementation relies on basic scalar evaluations. The agreement between the simulated and measured radar channel of a metallized human-body-shaped object at 24 GHz and 61 GHz proves the effectiveness of the approach.Publicationtype: Conference Paper71 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: without files , Fast determination of the monostatic radar channel in the near-field of electrically large targetsThis contribution addresses the determination of the radar channel when operating in the near field of electrically large targets, which is a common scenario in modern short-range radar applications such as vital-sign sensing. With the focus on computational simplicity and the inclusion of near-field scattering phenomena, the proposed approach combines physical optics (PO) concepts and the far-field radiation pattern of the radar antenna to determine both amplitude and phase of the receive signal. The numerical implementation relies on basic scalar evaluations. The agreement between the simulated and measured radar channel of a metallized human-body-shaped object at 24 GHz and 61 GHz proves the effectiveness of the approach.Publicationtype: Conference Paper16 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: without files , A Scalable, low-cost, V-band Bulls Eye antennaThis paper presents a design approach that facilitates the integration of Bulls Eye antennas into conventional printed circuit board design, which reduces the manufacturing cost of planar high-gain antennas. The antenna is composed of a transversal substrate integrated waveguide feed slot and a 3D-printed Bulls Eye antenna with elliptical corrugations. The depth of the grooves is modulated over the aperture of the antenna. The antenna has a gain of 21.9 dBi in simulation and 18.12 dBi in measurement.Publicationtype: Conference Paper27