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

共 1515 条记录，以下是41-50 订阅

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Airborne Antenna Placement Optimization for Navigational Aid Infrastructure Inspection Mission 27

Airborne Antenna Placement Optimization for Navigational Aid...

引用

conference on radar sensor technology xxVII

作者： Zhang, Yan (Rockee) Snelling, Brad Univ Oklahoma Intelligent Aerosp Radar Team Sch Elect & Comp Engn Norman OK 73019 USA Univ Oklahoma Adv Radar Res Ctr Norman OK 73019 USA NASA AFRC 510 Edwards AFB CA 93523 USA

ISBN: (纸本)9781510661844;9781510661851

Recent work on optimizing antenna installations on large flight inspection (FI) aircraft is presented. The innovative aspect of this study is an automatic procedure and tool than can optimize, analyze, and design the best antenna installation locations using a unified performance index, considering all practical constraints, including signal quality requirements, environmental effects, actual flight geometries, and others. Example design procedures and results for actual flight mission aircraft is provided.

关键词： Antenna flight inspection optimization computational electromagnetics

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Automatic Multi-sensor Dataset Generation in Autonomous Vehicle Environments 23

Automatic Multi-Sensor Dataset Generation in Autonomous Vehi...

引用

23rd International conference on Machine Learning and Cybernetics, ICMLC 2024

作者： Deng, Zong-Yue Kang, Li-Wei Chiang, Hsin-Han National Taiwan Normal University Department of Electrical Engineering Taipei Taiwan National Taipei University of Technology Department of Vehicle Engineering Taipei Taiwan

ISBN: (纸本)9798331528041

This paper presents a comprehensive method for dataset construction, utilizing 3D object detection to automatically label objects detected by LiDAR sensors and synchronizing multi-sensor labeling through coordinate calibration, thereby automatically generating image and radar datasets that support various learning algorithms. Initially, the cocalibration from the camera, radar, and LiDAR sensors is conducted to standardize the coordinate system based on the LiDAR. The camera output includes image information, encompassing object depth and related data. The radar sensor, particularly in automotive applications, returns data on the position of objects in front of the vehicle. Further, the Hungarian Algorithm is employed to analyze the association between radar and camera-detected objects. The proposed collaboration process with software workflow for automatic dataset generation with multi-sensors is detailed in this study. Finally, the preliminary results from sensor fusion over single-sensor modalities to object detection applications are presented to facilitate the efficient and rapid development of our approach to multi-sensor dataset generation, which is still extremely limited to the optical counterparts in autonomous vehicle environments. © 2024 IEEE.

关键词： radar imaging

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Research on calibration method of vehicle sensor based on C-V2x 4

Research on calibration method of vehicle sensor based on C-...

引用

4th International conference on Internet of Things and Smart City, IoTSC 2024

作者： Wang, Fengjiao Zhang, Ying Fu, Yanhong Huang, Yunliang Zhang, Dongze CATARC Intelligent and Connected Technology Co. Tianjin China

ISBN: (纸本)9781510681767

The stability and reliability of vehicle sensor data such as high-precision integrated inertial navigation system (INS), millimeter wave radar (MMW), laser radar (LIDAR) are very important for the functional realization of vehicle ADAS. Due to the influence of natural environment and working environment, the perception data of the sensor may be biased. C-V2x uses the characteristics of interconnection to collect and analyze the information of traffic participants such as vehicles and pedestrians in the surrounding environment and the roadside information such as map information, and broadcasts it to the surrounding vehicles to provide traffic environment reference data for the test vehicles. In general, the calibration of sensors requires additional calibration equipment. In this paper, the C-V2x transmission data of vehicle networking is used as the truth value system to provide reference data for the real-time calibration of vehicle sensors, which can reduce the test hardware equipment, and the truth value system works steadily, providing the location information of objects with high accuracy. This calibration method can improve the accuracy of vehicle sensor, and provide reliable data support for multi-sensor fusion and system calibration. © 2024 SPIE.

关键词： Inertial navigation systems

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Diffusion-Based Point Cloud Super-Resolution for mmWave radar Data

Diffusion-Based Point Cloud Super-Resolution for mmWave Rada...

引用

IEEE International conference on Robotics and Automation (ICRA)

作者： Luan, Kai Shi, Chenghao Wang, Neng Cheng, Yuwei Lu, Huimin Chen, xieyuanli Natl Univ Def Technol Coll Intelligence Sci & Technol Changsha Peoples R China Tsinghua Univ Beijing Peoples R China ORCA TECH North Sydney NSW Australia

ISBN: (纸本)9798350384581;9798350384574

The millimeter-wave radar sensor maintains stable performance under adverse environmental conditions, making it a promising solution for all-weather perception tasks, such as outdoor mobile robotics. However, the radar point clouds are relatively sparse and contain massive ghost points, which greatly limits the development of mmWave radar technology. In this paper, we propose a novel point cloud super-resolution approach for 3D mmWave radar data, named radar-diffusion. Our approach employs the diffusion model defined by mean-reverting stochastic differential equations (SDE). Using our proposed new objective function with supervision from corresponding LiDAR point clouds, our approach efficiently handles radar ghost points and enhances the sparse mmWave radar point clouds to dense LiDAR-like point clouds. We evaluate our approach on two different datasets, and the experimental results show that our method outperforms the state-of-the-art baseline methods in 3D radar super-resolution tasks. Furthermore, we demonstrate that our enhanced radar point cloud is capable of downstream radar point-based registration tasks.

关键词： Stochastic systems

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RoLM: radar on LiDAR Map Localization

RoLM: Radar on LiDAR Map Localization

引用

IEEE International conference on Robotics and Automation (ICRA)

作者： Mai, Yukai Zhao, xiangrui Li, Han Gu, Yaqing Lang, xiaolei Liu, Yong Zhejiang Univ Inst Cyber Syst & Control Hangzhou Peoples R China

ISBN: (纸本)9798350323658

Multi-sensor fusion-based localization technology has achieved high accuracy in autonomous systems. How to improve the robustness is the main challenge at present. The most commonly used LiDAR and camera are weather-sensitive, while the FMCW radar has strong adaptability but suffers from noise and ghost effects. In this paper, we propose a heterogeneous localization method of radar on LiDAR Map (RoLM), which can eliminate the accumulated error of radar odometry in real-time to achieve higher localization accuracy without dependence on loop closures. We embed the two sensor modalities into a density map and calculate the spatial vector similarity with offset to seek the corresponding place index in the candidates and calculate the rotation and translation. We use the ICP to pursue perfect matching on the LiDAR submap based on the coarse alignment. Extensive experiments on Mulran radar Dataset, Oxford radar RobotCar Dataset, and our data verify the feasibility and effectiveness of our approach.

关键词： Optical radar

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Compact x-band SAR pod for light UAVs and aircraft 15

Compact X-band SAR pod for light UAVs and aircraft

引用

15th European conference on Synthetic Aperture radar, EUSAR 2024

作者： Kant, Przemyslaw Stasiak, Krzysztof Rynkiewicz, Roman Krawiecki, Seweryn Gambrych, Jacek Wielgo, Maciej Ciania, Rafal Lech, Dominika Wiliński, Robert Samczyński, Piotr Kulpa, Krzysztof Michalski, Jerzy Julian SpaceForest Boleslawa Krzywoustego 1B Gdynia81-035 Poland Institute of Electronic Systems Faculty of Electronics and Information Technology Warsaw University of Technology Warsaw00-665 Poland XY-Sensing ul. Nowowiejska 15/19 Warsaw Poland

ISBN: (纸本)9783800762873

The paper summarizes the research, development, and first trials of a new compact synthetic aperture radar (SAR) system dedicated to unmanned aerial vehicles (UAVs) and light planes. The SAR sensor operates in the x-band with up to 2 GHz bandwidth. The system allows for online and offline data processing, achieving resolution finer than 15 cm (8 cm theoretical) in both range and cross-range. The radar system is also integrated with communication and navigation subsystems in a single pod weighing less than 10 kg. The SAR system has been successfully tested in flight trials mounted on a small aircraft. © VDE VERLAG GMBH ∙ Berlin ∙ Offenbach.

关键词： Synthetic aperture radar

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Investigation of Potential 5G RF Interference with C-band radar Operations and Mitigation Solutions 27

Investigation of Potential 5G RF Interference with C-band Ra...

引用

conference on radar sensor technology xxVII

作者： Amaireh, Anas A. Zhang, Yan (Rockee) Univ Oklahoma Sch Elect & Comp Engn Intelligent Aerosp Radar Team Norman OK 73019 USA Univ Oklahoma Adv Radar Res Ctr Norman OK 73019 USA

ISBN: (纸本)9781510661844;9781510661851

This study investigates the potential interference between 5G New Radio (NR) and radar altimeters in various environments, focusing on the impact on different radar types at varying heights and distances in urban and rural macrocell settings. The research also explores the development of a Convolutional Neural Network (CNN) deep learning model to classify and identify 5G NR and radar altimeter signals, aiming to detect harmful interference and enhance overall aviation safety. The results reveal significant interference effects on radar altimeters from various 5G base station configurations, especially at lower altitudes, and demonstrate the exceptional performance of the CNN model in classifying signals with high accuracy, sensitivity, and specificity. These findings highlight the importance of ongoing research to address interference mitigation techniques and improve signal classification methods, ensuring the safe coexistence of 5G and radar altimeter systems.

关键词： 5G radar altimeters Machine learning Convolutional Neural Network (CNN) Signal classification

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One-dimensional Super-Wide-Band 8x4 Van Atta Antenna Array 16

One-dimensional Super-Wide-Band 8x4 Van Atta Antenna Array

引用

16th International conference on Microwave and Millimeter Wave technology (ICMMT)

作者： He, Dinglun Deng, Li Chen, Lijie Li, Shufang Shu, Yuanzhang Beijing Univ Posts & Telecommun Coll Informat & Commun Engn Beijing Peoples R China China Ship Dev & Design Ctr Sci & Technol Electromagnet Compatibil Lab Wuhan Peoples R China

ISBN: (纸本)9798350389968

This paper presents a super-wide-band(SWB) 8x4 Van Atta antenna array with a working bandwidth of 2GHz-29.474GHz and a relative working bandwidth of 175%,covering S, C, x, Ku, and K bands. The simulation results show that the -10dB retrodirective angle range of the proposed Monostatic radar cross section (RCS) is 32 degrees-132 degrees, and in the frequency range of 3.026-28.904GHz, the -6dB angle range of the Monostatic RCS is 66 degrees-92 degrees. The Monostatic RCS has a 20dB lift compared to equal sized metal floor. In addition, the array directly uses coaxial connections to connect antenna pairs without requiring a complex feed network.

关键词： radar cross section

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Quantum radar: A Brief Review of Current Progress and New Methods of Understanding and Signal Processing, Validated by Experimental Results 27

Quantum Radar: A Brief Review of Current Progress and New Me...

引用

conference on radar sensor technology xxVII

作者： Brandsema, Matthew J. Szigethy, xavier Penn State Appl Res Lab 225 Sci Pk Rd State Coll PA 16801 USA

ISBN: (纸本)9781510661844;9781510661851

Modern approaches to quantum radar implementation utilize the intrinsic correlations of two-mode squeezed vacuum photon pairs emerging from a nonlinear interaction. The most popular approach has been the use of delay lines for the idler and performing joint measurements on the idler and returning signal together. In this paper, it is argued and shown that this sort of implementation is not necessary to extract the quantum cross correlation terms. Immediate detection of the idler and later cross correlation on a large enough data set will yield identical covariance terms. Moreover, immediate idler detection facilitates the use of conventional radar signal processing which allows existing waveform toolboxes of classical radar to be utilized for quantum radar. This allows a much more relaxed set of constraints on the implementation of quantum radar techniques. This paper discusses these concepts, including new detection techniques from the author, and validates the framework with some preliminary experimental data. The presented data, as well as the recent work of others allows for the possibility of a much larger quantum advantage than previously thought, particularly when comparing to real-world practical classical sensors.

关键词： quantum radar quantum lidar remote sensing signal processing matched filter current progress quantum sensing quantum science

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A proposed concept for metacognitive configuration switching for tracking radar systems 27

A proposed concept for metacognitive configuration switching...

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conference on radar sensor technology xxVII

作者： Sreekantamurthy, Veena Ridder, Tyler D. Martone, Anthony F. Narayanan, Ram M. Penn State Univ Dept Elect Engn University Pk PA 16802 USA Penn State Univ Appl Res Lab State Coll PA 16801 USA DEVCOM Army Res Lab Adelphi MD 20783 USA

ISBN: (纸本)9781510661844;9781510661851

Target tracking has become more complicated as radar operating environments have become increasingly congested with clutter, interference, and countermeasures for jamming of radio frequency (RF) signals. As a result, the accuracy and performance of target tracking radars are further degraded. Three configurations of radar systems, namely, monostatic radar, bistatic radar, and passive radar, are commonly used today. The most conventional one is the monostatic radar defined by a co-located transmitter and receiver. In the bistatic radar system, the radar transmitter and receiver are physically separated by a large distance. A passive radar system is a derivative of the bistatic radar system, wherein radar functions are performed without the use of one's own transmitter. Instead, existing signals-of-opportunity (SOP) within the RF environment are opportunistically exploited to perform the radar functions. This paper presents a concept based on metacognition which entails dynamically switching the mode of operation between the three radar configurations to optimize target tracking accuracy. The paper provides an overview of the three radar configurations followed by the description of an approach for switching radar configuration among the three radars. Modeling and simulation of a passive radar system for target tracking in MATLAB is presented and followed by analysis and discussion of its performance.

关键词： Target tracking passive radar bistatic radar monostatic radar switching radar configuration metacognition

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