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Item type:Publication, Access status: with files , Advancing 60-GHz SISO radar: additively manufactured leaky wave antenna with enhanced beam steeringIn this work, a waveguide-based leaky wave antenna (LWA) for beam scanning operation at 60GHz is presented, fabricated, and experimentally investigated. It employs a slotted radiator in a rectangular waveguide, achieves a beam squint of 76° with 5.5-GHz bandwidth, offering enhanced angular resolution. The antenna employs dual feeding, thereby virtually doubling the bandwidth, which permits more beam scan angle per employed physical bandwidth in radar systems for precise angle estimation. The antenna was fabricated using SLA 3-D printing and subsequently silver-coated, enabling efficient production of complex 3-D antenna geometries. As expected, printing inaccuracies and metallization processes influence the antenna gain and beam squint. However, these effects can not only be reduced but even fully eliminated through targeted optimization of the manufacturing process, as demonstrated in this article. By combining application-specific antenna design with optimized fabrication techniques, best-in-class performance can be achieved despite the constraints of additive manufacturing. Compared with previous works, the antenna presented herein offers a unique combination of a large squint angle, high-operating frequency, and practical manufacturability. By combining the beam squint with dual feeding, a balance between high-range resolution and precise angle estimation is achieved in radar applications.Publicationtype: Journal Article31 18 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: without files , Chameleon radar antenna: seeing more with a smart concept [Student paper competition]How does a chameleon keep track of its surroundings? With its independently moving eyes, it continuously scans the environment, thereby detecting potential prey or threats. By deliberately altering its viewing angle, it can capture a comprehensive picture of its surroundings. A radar system pursues the same goal: It must reliably detect objects and precisely perceive the environment. However, while the chameleon flexibly shifts between various angles, many radar architectures maintain a static field of view, an aspect that can limit performance in certain applications.Publicationtype: Journal Article35 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: without files , 60GHz leaky-wave antenna design for SISO radar systems with angle estimation(IEEE, 2025-01); ; ; ; This paper describes a two port 60 GHz leaky-wave antenna system that features a beam squint of 42° using both antenna ports for scanning the transmit beam. This antenna is the key component that enables angle estimation for a SISO radar by a novel approach on system level. The antenna was simulated, 3D printed using SLA, metallized using the tollens reagenz, and subsequently measured. The measurement results align with the simulation results, achieving a beam squint of 42° across both ports and an S 11 of greater than 10 dB. Using a integrated radar system with 10 GHz bandwidth, this antenna provides a possibility to achieve a range resolution of 15 cm for the radar system, even though this would typically be degraded by the squint effect. This is made possible by utilizing two ports and a waveguide switch that alternates between them.Publicationtype: Conference Paper108 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: without files , Antenna Model and Simulation Platform for Angle Estimation with a SISO Radar SystemThis paper presents a novel concept for achieving angular estimation and target separation using a bistatic single input single output mmWave radar system operating at 60 GHz. A simulation framework was designed to investigate the antenna configuration required for angle estimation using beam squinting. With this concept, two targets at the same distance and velocity can be separated in angle using power evaluation of range-Doppler plots with constant false alarm rate detection. The simulations were verified with measurements. This proof of concept paves the way to an affordable mmWave single input single output radar system with the capability of angle estimation complementing such systems usually limited to range-Doppler monitoring without angular separation.Publicationtype: Conference Paper22 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: without files , Automated Radar Data Labeling using MoveNet for Human Gesture Recognition(2023-12); ; ; Integrated radar sensors constitute an emerging technology used from smart home to autonomous driving applications. In combination with machine learning for radar data signal processing, they experience increasing popularity and are heavily investigated. These methods however need huge amounts of labeled training data to perform well in realistic scenarios, which is time consuming and cost intensive. To increase data acquisition speed, this paper presents a system using a fast computer vision model for automated radar data labeling. It is capable of generating 10 labeled radar data frames per second. To demonstrate the abilities it is used for human gesture recognition.Publicationtype: Conference Paper18 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: without files , Automated Radar Data Labeling through Computer VisionThis paper presents the combination of an existing computer vision model with a highly integrated mm-wave radar system for automated radar data labeling. A pre trained model for person presence detection is used in combination with a camera sensor to determine, whether a person is present or not. The binary prediction is used to label simultaneously measured radar data of the same scenery. The paper addresses the challenges of varying illumination conditions, camera and radar sensor aperture angles and data quality which are dominant influences at the labeling process. The system significantly decreases human effort by automating the labeling process. It is used to generate 10,000 data points, label them and train a neural network with 95.7% accuracy. Finally, a proof-of-concept, training, and evaluation of radar-based activity detection with automatically labeled data is presented. The proposed method can contribute in person presence detection under challenging light conditions.Publicationtype: Conference PaperScopus© Citations 1 118 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: without files , Circular Gysel Divider for the Frequency Range from 18 GHz to 26 GHzPower dividers are required and used in a wide variety of applications. It is often sufficient to halve the power and divide it evenly between two branches. However, if one branch requires more power than the other, a divider with an unequal power ratio is needed. In the presented work, an equal and an unequal Gysel divider were designed, simulated and measured. Compared to other Gysel splitters, the ones demonstrated here have advantages in size, isolation and losses.Publicationtype: Conference Paper32