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检索条件"任意字段=Conference on Radar Sensor Technology"

共 5986 条记录，以下是21-30 订阅

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Design of Ultra-wideband Large Current Radiator Driver for M-sequence sensor Systems

Design of Ultra-wideband Large Current Radiator Driver for M...

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International conference on Radioelektronika

作者： Miroslav Sokol Patrik Jurik Pavol Galajda Zuzana Sokolová Dept. of Electronics and Multimedia Telecommunications Technical University of Košice Košice Slovakia

ISBN: (数字)9798331544478

ISBN: (纸本)9798331544485

This paper describes the design of an integrated ultra-wideband driver circuit for larger current radiator antennas. This LCR driver is intended for M-sequence radar sensor systems and their applications. The LCR driver design was focused on achieving the highest linearity with respect to output current and frequency bandwidth in the utilized semiconductor technology. The proposed driver was designed in 0.25 µm SiGe BiCMOS technology provided by IHP foundry with $\mathrm{f}_{\mathrm{t}}=110 \text{GHz}$ . This paper also describes the post-layout simulation of the designed driver circuit. The results of the simulation show the proposed driver output and input parameters. The maximum operating frequency is 38 GHz. The driver's output current is 130 mA, and the internal output impedance is $12\Omega$ . The achieved power consumption is 185 mA at 3.3 V.

关键词： Antenna measurements Power demand Dipole antennas Receiving antennas radar antennas sensor systems Ultra wideband antennas Ultra wideband radar Driver circuits Silicon germanium

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19th Global conference on Sustainable Manufacturing, GCSM 2023

19th Global Conference on Sustainable Manufacturing, GCSM 20...

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19th Global conference on Sustainable Manufacturing, GCSM 2023

ISBN: (纸本)9783031774287

The proceedings contain 95 papers. The special focus in this conference is on Sustainable Manufacturing. The topics include: Ecosystem Collaboration for Sustainability: Learnings from the Food System;business Model Design in Context of Circular Economy;From Talk to Action: A Diagnosis of Drivers of Sustainable Logistics Practices in LATAM, a Collaborative Study Between Industry and Academia;aligning Strategic Priorities in Manufacturing and Sustainable Operational Practices in Firms: Exploration and Evidence in North-East Colombia;towards Circular Business Models in the Punching Industry: Leveraging Smart sensor technology for Sustainable Manufacturing Processes;challenges of Low-Carbon Transition of Manufacturing Industry in Developing Countries and Research on the Construction of Green Manufacturing System in China;risk Assessment for Small Manufacturing Businesses in Soweto;criteria-Driven Comparison of Hydrogen, Charcoal and Liquefied Petroleum Gas as Cooking Fuels Based on a Systematic Literature Review;bridging the Educational Gap in Circular Design and Engineering—An Educational Concept and Case Study from Austria;concept of an Integrated Information and Education Platform for Sustainable Development;innovating Blended Learning Model for Professional Education in Manufacturing;work Engineering for Sustainability: Required Education in Engineering;developing a Framework for Sustainable Education in a Production Engineering Study Program;Identification of Lightweighting Potentials Towards More Sustainable Products via the Functional Lifecycle Energy Analysis (FLCEA);sustainability Data Map: Framework for Data-Based Product Carbon Footprinting of Technical Products;Life Cycle Assessment (LCA) of a Circular Saw Blade for Wood Processing;a Systems-Based Framework for Product Circularity Assessment;technology radar for a Sustainable Biological Transformation in the Manufacturing Industry.

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Demo Abstract: C-Shenron: A Realistic radar Simulation Framework for CARLA 25

Demo Abstract: C-Shenron: A Realistic Radar Simulation Frame...

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Proceedings of the 23rd ACM conference on Embedded Networked sensor Systems

作者： Pushkal Mishra Satyam Srivastava Jerry Li Kshitiz Bansal Dinesh Bharadia Electrical and Computer Engineering University of California San Diego San Diego California USA Birla Institute of Technology Pilani Pilani Rajasthan India Electrical and Computer Engineering University of California Riverside Riverside California USA Electrical and Computer Engineering UCSD San Diego California USA

ISBN: (纸本)9798400714795

The advancement of self-driving technology is driven by the need for robust and efficient perception systems along with frameworks for End-to-End testing, enabled by the CARLA simulator. We introduce C-Shenron, a novel integration of a realistic radar sensor model within CARLA, enabling researchers to develop and test navigation algorithms using radar data. It is the first realistic radar simulator which utilizes LiDAR and camera sensors to generate high-fidelity radar ADC measurements from physics based modeling of the environment. Utilizing this radar sensor and showcasing its capabilities in simulation, we demonstrate improved performance in end-to-end driving scenarios. Our setup aims to rekindle the interest in radar-based self-driving research and promote the development of algorithms that leverages its strengths.

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A Novel Treatment of Obstructive Sleep Apnea Using Continuous Wave Interferometry radar

A Novel Treatment of Obstructive Sleep Apnea Using Continuou...

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IEEE Topical conference on Wireless sensors and sensor Networks (WiSNet)

作者： Geyang Xu Christopher Williams Ke Tom Xu Changzhi Li All Saints Episcopal High School Lubbock USA Electrical and Computer Engineering Texas Tech University Lubbock USA Emergency Medicine Texas Tech University Health and Science Center Lubbock USA

ISBN: (数字)9798331507336

ISBN: (纸本)9798331507343

In recent years, radar technology has gained significant interest for its application in detecting vital signs. It has the potential to play a crucial role in identifying obstructive sleep apnea (OSA), a serious condition that disrupts breathing during sleep that can lead to cognitive impairment and cardiovascular diseases. Studies show that Positional Therapy offers an effective and low-cost treatment for OSA. While Positional Therapy is a promising treatment for OSA, it often requires manual intervention, limiting its accessibility. There remains a gap for the automatic detection and treatment of OSA. This paper proposes a novel approach to address this gap by integrating a system that uses continuous wave (CW) Doppler radar for the detection of OSA and the application of Positional Therapy, thereby improving the accuracy of diagnosis and the effectiveness of treatment.

关键词： Wireless communication Wireless sensor networks Limiting Medical treatment radar detection Manuals Sleep apnea Doppler radar sensors Interferometry

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Adaptive radar and AIS Trajectory Association Method Based on a Dynamic Feedback Strategy

Adaptive Radar and AIS Trajectory Association Method Based o...

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sensors and Information technology (ICSI), International conference on

作者： Yaotian Shi Tongsheng Shen Feng Liu Chinese Academy of Military Science National Innovation Institute of Defense Technology Beijing China

ISBN: (数字)9798331542887

ISBN: (纸本)9798331542894

To address the limitations of traditional fixed dual-threshold trajectory association algorithms in dynamic maritime environments with increasing vessel traffic density, this paper introduces a dynamic feedback strategy into the conventional multi-factor fuzzy comprehensive decision-making(MF-FCDM) association model, optimizing thresholds to enhance robustness. Experimental results demonstrate that the proposed method reduces the average association error by 23.33% in dense scenarios while maintaining stable performance within a second threshold range of 0.8-0.95. This achievement provides a novel approach for multi-sensor data association and holds significant practical value for improving real-time vessel monitoring capabilities.

关键词： Heuristic algorithms Surveillance Scalability radar Robustness sensor systems Real-time systems Trajectory Optimization Intelligent sensors

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International conference on Power Engineering and Intelligent Systems, PEIS 2024

International Conference on Power Engineering and Intelligen...

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International conference on Power Engineering and Intelligent Systems, PEIS 2024

ISBN: (纸本)9789819767090

The proceedings contain 41 papers. The special focus in this conference is on Power Engineering and Intelligent Systems. The topics include: Smart Seating: The Smart Seating Solution for Crowded Public Transit;comparative Study of Coil Shapes for Electric Vehicle Resonant Wireless Power Transfer System;A Case Study of Solar Photovoltaic and Biomass-Based Hybrid Power System in Educational Institutes in Delhi-NCR;comparative Analysis of Water Bodies Segmentation Techniques;load Frequency Control in Hybrid Integrated Power Systems with Redox Flow Batteries Using Dual-Mode Gain Scheduling Method;enhanced Discrete Cosine Transform Image Compression for Ultra-High-Resolution Imagery;Simulation and Analysis of 6T SRAM Cell in NGSpice: Exploring Performance and Stability;design of Double Precision Floating Point Comparator for Multiple Numbers;secured Regulatory Data Compliance for the Pharmaceutical Sector Through Blockchain;Optimizing IoT-Based Quantum Wireless sensor Networks Using NM-TEEN Fusion of Energy Efficiency and Systematic Governance;optimal Sizing and Allocation of Multiple Distributed Generation;high-Gain X-Band Patch Antenna for Spaceborne Synthetic Aperture radar Applications;protection of Series Compensated Networks Using Different Techniques: An Overview;a Robotic Way to Investigate Unapproachable Places and Inaccessible Substances Using e-skin;a Review of Chatbot technology: Its Design and Implementation;exploring the Microcosm: A Comprehensive Survey of Micro sensor Applications Across Multidisciplinary Research;stress Classification Using Machine Learning Techniques: Comparative Study;normalized Mutual Information-Driven Feature Extraction Method for Big Data Analytics;modeling of a Novel Correlation-Weighted Elman Neural Network for Building Automation System;Application FOPID for PLL Design in Grid Integration;Impact of Inter-Next Generation Node B (gNB) Distance on End-User Applications in 5G Networks.

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Research on Multi - sensor Fusion technology of IMU LiDAR and GNSS for Autonomous Driving

Research on Multi - Sensor Fusion Technology of IMU LiDAR an...

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sensors and Information technology (ICSI), International conference on

作者： Zexiang Cheng Hangzhou Dianzi University Hangzhou China

ISBN: (数字)9798331542887

ISBN: (纸本)9798331542894

With the remarkable development of the practicality of deep learning and the ultra - high - speed information transmission rate of 5G communication technology, autonomous driving is becoming a key technology that affects future industries. sensors are crucial for perceiving the external world in autonomous driving systems, and their performance influences the safety of autonomous vehicles. In this study, we deeply explore the multi - sensor fusion technology of IMU, LiDAR and GNSS for autonomous driving. A fusion architecture and algorithm are designed based on the Extended Kalman Filter. The predicted position state curve of the vehicle after incorporating the machine learning model is discussed. It is concluded that the sensor fusion technology after integrating the Random Forest model algorithm can more precisely predict the position state of the vehicle.

关键词： Adaptation models Global navigation satellite system Machine learning algorithms Laser radar sensor fusion Predictive models sensor systems sensors Autonomous vehicles Random forests

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Flight Test Performance of an RFSoC Based Direct RF FMCW Radio Altimeter

Flight Test Performance of an RFSoC Based Direct RF FMCW Rad...

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Integrated Communications, Navigation and Surveillance conference, ICNS

作者： Abdessamad Amrhar Victor Bursucianu Jean-Marc Gagné Rene Landry Electrical engineering École de technologie supérieure Montreal Canada

ISBN: (数字)9798331534738

ISBN: (纸本)9798331534745

The radar altimeter (RA) is one of the most important sensors in avionics systems. It is the only sensor that reliably indicates altitude above the ground. With the roll-out of the 5G network, many concerns have been raised about the interference between the 5G network and radar altimeters. This issue highlights the importance of future-proofing avionics systems. One way to do this is by leveraging software-defined radio (SDR) technology. Advances in high-speed analogue-to-digital converters (ADCs) and digital-to-analogue converters (DACs) have made it possible to directly digitise the radio frequency (RF) signal and get rid of the RF mixing stage. This is called Direct RF Sampling (DRFS). This work aims to demonstrate the feasibility, capability, and performance of a DRFS radar altimeter based on the Xilinx RFSoC technology. The radar altimeter was tested in a laboratory environment and in a flight test. The laboratory test results show that the radar altimeter meets the MOPS tolerances. The flight test results show that the prototype is accurate at altitudes above $\mathbf{5 0 0} \mathbf{f t}$ but there are still some issues that need to be addressed. The results show that DRFS is a viable solution for high bandwidth systems like the radar altimeter.

关键词： Radio frequency Accuracy 5G mobile communication Surveillance Signal processing algorithms radar Aerospace electronics sensor systems sensors Software radio

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Adaptive Cross-Attention Gated Network for radar-Camera Fusion in BEV Space

Adaptive Cross-Attention Gated Network for Radar-Camera Fusi...

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International conference on Advanced Communication technology (ICACT)

作者： Ji-Yong Lee Jae-Hyeok Lee Dong-Oh Kang Visual Intelligent Lab ETRI Daejeon Republic of Korea The University of Texas at Austin Austin TX USA

ISBN: (数字)9791188428137

ISBN: (纸本)9798331507602

Fusing multimodal sensors for 3D object detection has been extensively researched in the field of autonomous driving. However, existing multimodal sensor fusion methods still struggle to provide reliable detection across different modalities under diverse environmental conditions. Specifically, straightforward methods like summation or concatenation in radar-camera fusion may lead to spatial misalignment and fail to localize objects in complex scenes. To address this, we propose Adaptive Cross-Attention Gated Network (ACAGN) to enhance radar-camera fusion capabilities in Bird's-Eye View (BEV) space. Our approach integrates a deformable cross-attention and an adaptive gated network mechanism. The deformable cross-attention aligns radar and camera features from BEV with greater spatial precision, handling variations between those features effectively. Meanwhile, the adaptive gated network dynamically filters and prioritizes the most relevant information from each sensor. This dual approach improves stability and robustness of detection, as demonstrated through extensive evaluations on the nuScenes dataset.

关键词： Adaptive systems Three-dimensional displays Filters Multimodal sensors Spaceborne radar Object detection Logic gates Cameras Stability analysis Autonomous vehicles

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A Flexible Data Set for radar-Based Gesture Recognition

A Flexible Data Set for Radar-Based Gesture Recognition

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German Microwave conference

作者： Theresa Antes Elizabeth Bekker Akanksha Bhutani Thomas Zwick Institute of Radio Frequency Engineering and Electronics Karlsruhe Institute of Technology Germany

ISBN: (数字)9783982039749

ISBN: (纸本)9798331521790

Gesture recognition is a simple and intuitive way of human-machine interaction that is increasingly used to control devices in a variety of applications. Often, the gestures are captured by a radar sensor due to its flexible operation, robustness to challenging lighting conditions, and high privacy capability. Nonetheless, radar-based data sets to train classification structures are still rare. A broad and flexible data set for radar-based gesture recognition of 7 gestures using a fast chirp frequency-modulated continuous wave (FC-FMCW) radar is presented and made publicly available. A descriptive demonstrator is built up and trained to showcase possible usage.

关键词： Hands Human computer interaction Privacy Lighting Gesture recognition radar Robustness Recording sensors Usability

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