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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41-50 订阅

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Design of T/R Module Based on SIP 16

Design of T/R Module Based on SIP

引用

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

作者： Kang Kai Li Baoxin Yan Shaomin Xian Res Inst Nav Technol Xian 710071 Peoples R China

ISBN: (数字)9798350389968

ISBN: (纸本)9798350389968

SIP technology has the characteristics of small module size, high reliability and high production efficiency. The assembly process of T/R module based on SIP modules is simple and easy to achieve rapid automated production, which effectively reducing the cost of T/R module. In this paper, A miniaturized and high performance X-band T/R module has been developed based on two SIP modules, which is applied in active phased array radar equipment.

关键词： SIP T/R module Phased array radar

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Design of RCS reduction for antenna array based on absorber 16

Design of RCS reduction for antenna array based on absorber

引用

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

作者： Zhang, Tong Li, Teng Southeast Univ State Key Lab Millimeter Wave Nanjing 210096 Peoples R China

ISBN: (纸本)9798350389968

The aim of this study is to design a metamaterial-absorber based antenna to mitigate the radar cross-section (RCS). Initially, a printed dipole antenna unit is employed and configured into a 4x4 antenna array. Subsequently, an absorber is designed with a square ring and a patch, utilizing resistor-loaded to enhance absorption performance. Finally, integrating the absorber with the antenna array, results show a significant reduction in both single and double-station RCS within the operational frequency range compared to the antenna without the absorber.

关键词： radar cross section

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Quantifying Knowledge: Medical Applications of radar Aging through the Lens of Bibliometrics 21

Quantifying Knowledge: Medical Applications of Radar Aging t...

引用

conference on Smart Biomedical and Physiological sensor technology XXI

作者： Obaideen, Khaled Faroukh, Yousuf Bonny, Talal Al-Shabi, Mohammad Alobaid, Ahmad Univ Sharjah Res Inst Sci & Engn Sharjah U Arab Emirates Univ Sharjah Sharjah Acad Astron Space Sci & Technol CubeSat Lab Sharjah U Arab Emirates Univ Sharjah Coll Comp & Informat Sharjah U Arab Emirates Univ Sharjah Coll Engn Sharjah U Arab Emirates

ISBN: (纸本)9781510674370;9781510674363

This research plunges into the rapidly growing radar technology in the medical sector, putting emphasis on its possibility to revolutionize elderly care and health monitoring among the aging global population. Based on a systematic literature review and rigorous bibliometric analysis, we discuss radar technology application in healthcare, focusing on its potential for non-invasive, high-accuracy diagnosis and continuous patient monitoring. Our findings highlight the critical harmony between radar technology and the advances in machine learning, artificial intelligence, and data analytics, which open the door to smart healthcare solutions. These advancements will improve early disease detection, fall risk prevention, and real-time health monitoring, resulting in quick medical responses. This study endeavors to offer useful knowledge to researchers, practitioners, and policymakers who are working towards the use of technology for better health in the context of the demographic changes that the world is experiencing in terms of an ageing population by mapping the current research landscape, identifying the existing trends and gaps, and proposing the future direction of research.

关键词： radar Rlderly Care VOSviewer Bibliometric

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Depth Information Fusion Using radar-LiDAR-Camera Experimental Setup for ADAS Applications 13

Depth Information Fusion Using Radar-LiDAR-Camera Experiment...

引用

13th IEEE International conference on Communication Systems and Network Technologies, CSNT 2024

作者： Dayananda, N.B. Srivastava, Neetesh Achala, G. Nandagiri, Ashwin Srihari, Pathipati Pardhasaradhi, Bethi Cenkeramaddi, Linga Reddy National Institute of Technology Karnataka Ece Dept. Surathkal India Sri Shashaprayathi Technologies Pvt. Ltd. Surathkal Mangalore575025 India University of Agder Department of Information and Communication Technology Grimstad Norway

ISBN: (纸本)9798350305463

Improved scene perception makes the safe driving of automotive vehicles (AVs) feasible. The most common automotive sensors for AV perception for detection, classification, a nd t racking a re t he Light Detection And Ranging (LiDAR), radar, and camera sensors. The most reliable sensors for determining range are LiDAR and radar. In this research, we consider the referencing from the camera-based object recognition to fuse the LiDAR and radar point cloud data. To minimize any unintended effects from sensor orientation and sampling time, all three sensors are installed, calibrated, and time-aligned for this experiment. Subsequently, the obtained camera sensor data is subjected to object detection using a MobileNet-based deep neural network (DNN). The radar and LiDAR point cloud data are projected with the two-dimensional bounding box width, length, and height used for object recognition. Following that, the range information from the radar and LiDAR is retrieved and combined using a weighted average fusion algorithm. This experiment is run on the ROS platform, using AWR1642 radar sensor and RealSense LiDAR camera L515 sensor. The object detection from the camera and conducting fusion on the radar and LiDAR sensor is a potential algorithm for the Advanced Driver Assistant System (ADAS) emergency brake assistant (EBA) function. © 2024 IEEE.

关键词： Object recognition

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SLAM Algorithm Based on Heterogeneous sensor Data Fusion 36

SLAM Algorithm Based on Heterogeneous Sensor Data Fusion

引用

36th Chinese Control and Decision conference (CCDC)

作者： Dou, Jianbin Xu, Chen Tang, Zhicheng Anhui Univ Sch Artificial Intelligence Hefei Peoples R China

ISBN: (纸本)9798350387780;9798350387797

With the rapid development of artificial intelligence technology, simultaneous localization and mapping (SLAM), as a key technology, has attracted widespread attention. However, laser-based SLAM technology suffers from significant drift issues. A heterogeneous sensor data fusion algorithm aimed at improving the performance of SLAM is proposed in this paper. First, data from laser radar and the Inertial Measurement Unit (IMU) is collected. Then, the Cartographer algorithm itself employs the Extended Kalman Filter (EKF) method to fuse the data from both sources, ultimately constructing a 2D SLAM framework for environmental mapping. Laser radar data and FAN data from three different experimental scenarios are collected, and the mentioned algorithm is utilized to fuse the data for map construction. The error between the constructed map and the real map is compared, demonstrating that the heterogeneous sensor data fusion-based SLAM algorithm in this paper outperforms single lidar Cartographer. It overcame the issue of rotational drift and exhibited promising application potential.

关键词： SLAM Cartographer EKF IMU LIDAR

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Design of wideband high-gain vehicle-mounted millimeter-wave radar antenna based on novel gradient power divider network 16

Design of wideband high-gain vehicle-mounted millimeter-wave...

引用

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

作者： Zhang, Shuang-Gen Yu, Tao Wang, Yu-Lan Zhou, Ran Chong, Zhi-Hua Tianjin Univ Technol Minist Educ Tianjin Key Lab Film Elect & Commun Devices Sch Integrated Circuit Sci & EngnEngn Res Ctr Op Tianjin 300384 Peoples R China

ISBN: (纸本)9798350389968

In this paper, a broadband high-gain antenna for vehicle-mounted millimeter-wave radar is proposed. The antenna is mainly composed of two parts, including a 10-element series-fed millimeter-wave radar antenna and gradient-type one-four parallel power-dividing feed network. The tapered microstrip line is combined with a series feed power divider that generates traveling waves. By adjusting the width of the tapered line, the impedance of the transmission line can be linearly changed, allowing the antenna to be matched with the multi-resonant point impedance and enhancing the radiation bandwidth. The radiation bandwidth is improved. The results indicate that the operating frequency band of the radar antenna is 76.39 similar to 84.2GHz, with a bandwidth of 7.81GHz. The antenna exhibits a gain of approximately 20.117dBi and a half power beam width of 11.2 degrees. The proposed millimeter-wave radar antenna, based on the innovative gradient power divider network, offers significant potential in the field of automotive radar.

关键词： graded power division feed network broadband high gain microstrip array antenna

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Millimeter Wave radar-Based Road Segmentation 27

Millimeter Wave Radar-Based Road Segmentation

引用

conference on radar sensor technology XXVII

作者： Southcott, Mark A. Zhang, Leo Liu, Chen Clarkson Univ Potsdam NY 13699 USA

ISBN: (纸本)9781510661844;9781510661851

Research into autonomous vehicles has focused on purpose-built vehicles with Lidar, camera, and radar systems. Many vehicles on the road today have sensors built into them to provide advanced driver assistance systems. In this paper we assess the ability of low-end automotive radar coupled with lightweight algorithms to perform scene segmentation. Results from a variety of scenes demonstrate the viability of this approach that complement existing autonomous driving systems.

关键词： millimeter wave radar ADS road segmentation

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A Newly Developed Method for Georegistration of Synthetic Aperture radar Imagery 28

A Newly Developed Method for Georegistration of Synthetic Ap...

引用

conference on radar sensor technology XXVIII

作者： Shore, Aimee Tellez, Joshua West, R. Derek Koehler, Frederick W. Schwartzkopf, Wade Sandia Natl Labs POB 5800 Albuquerque NM 87185 USA Natl Geospatial Intelligence Agcy Springfield VA USA

ISBN: (纸本)9781510674158;9781510674141

Georegistration of synthetic aperture radar (SAR) images is an ongoing problem. We present a SAR-sensor independent method that enables assessment of image geolocation accuracy at nearly any terrestrial scene location. To achieve this, a collected image is co-registered against a global reference image set, such as the high-fidelity X-band RCS layer of the TanDEM-X High Resolution Elevation Data Exchange Program (TREx) data set, which has well-characterized horizontal and vertical errors. Measuring sensor geolocation accuracy against a high-fidelity broad-area reference set can mitigate the effect of location errors that, if left uncorrected, may have a deleterious impact on downstream applications. In particular, the proposed method could help automate the assessment and quality control of existing and emerging constellations of commercial satellite systems. Our co-registration approach first applies a pre-warp operation that exhausts known SICD (sensor Independent Complex Data) metadata from a collected image to get within the neighborhood of the true geolocation in the reference image. Then we attain a fine scale registration through local feature detection and extraction, via an established computer vision algorithm. Finally, we compute a similarity transformation on matching points between the test and reference images;the transformation includes translation values, which are used for assessing geolocation accuracy, as well as scale and rotation estimates that are used for a confidence measure.

关键词： Synthetic aperture radar SAR geolocation georegistration co-registration sensor location error

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A portable microwave radar array based material classification using SpectrogramFace recognition and GoogLeNet 20

A portable microwave radar array based material classificati...

引用

20th IEEE/ASME International conference on Mechatronic and Embedded Systems and Applications (MESA)

作者： Cao, Shiang Giri, Sachin Romero, Marlon Gonzalez, Jonathan Chen, YangQuan Univ Calif Merced Dept Mech Engn Merced CA 95343 USA Univ Calif Merced EECS Merced CA 95343 USA

ISBN: (纸本)9798331516246;9798331516239

In recent years, radar sensor technology has garnered a lot of attention and become increasingly popular in a wide range of applications. Leveraging the powerful learning abilities of Machine Learning techniques, radar-based material classification has emerged as an area of keen interest. In our study, we employ machine learning algorithms to categorize materials based on reflected radar signals. Utilizing a portable cm-wave radar sensor, we record signals reflected by different materials and employ time-frequency analysis methods to get the spectrogram of the signals. These visual representation were then fed into a Deep Convolutional Neural Network (CNN) for classification. To simplify the process and improve efficiency, we used transfer learning with the pre-trained GoogLeNet model, avoiding the need to develop a new neural network from scratch. A key focus of our investigation is on evaluating the performance of different time-frequency analysis methods to identify the most effective spectrogram representations for material classification. Remarkably, we achieved the highest accuracy of up to 97%, which underscores the efficacy of integrating spectrogram analysis with GoogLeNet in radar-based material classification.

关键词： Material Classification radar Sensing Time-Frequency Analysis Machine Learning

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Vibration Monitoring of Tunnel Faces Applying 78GHz DBF-based high-speed imaging radar 28

Vibration Monitoring of Tunnel Faces Applying 78GHz DBF-base...

引用

conference on radar sensor technology XXVIII

作者： Iwaki, Hideaki Nishi, Takuro Tada, Hiroyuki Shimizu Corp Koto Ku 3-4-17 Etchu Jima Tokyo 1358530 Japan

ISBN: (纸本)9781510674158;9781510674141

To prevent accidents caused by collapse and rockfall tunnel faces during construction, we considered vibration monitoring using a millimeter-wave (78-GHz band) DBF-based high-speed imaging radar. Basic performance tests were conducted in a radio anechoic room and test facility simulating an actual tunnel. It was confirmed that the accuracy of the 0.1-mm displacement-measurement, high-speed sampling of 0.001 s, and individual movements of several targets could be distinguished. Based on the basic test results, on-site measurements were performed at an actual tunnel construction site. The displacement and vibration changes of a tunnel face at the time of breakthrough can be captured;in addition, large velocity changes occur in a working face before breakthrough, and it might be possible to detect an abnormal tunnel face in advance. In addition, it was confirmed that the movement of the rockfall location was almost precisely captured even for small-scale flaking during the drilling of the working face, regardless of the condition in which a part of the measurement range became shadowed.

关键词： Vibration monitoring Application for safety assessment during construction Tunnel Face DBF Millimeter Wave High Speed Imaging radar

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