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

共 6000 条记录，以下是301-310 订阅

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radar and Infra-Red array sensor Fusion in a Robotized Environment: An Experimental Study

Radar and Infra-Red array Sensor Fusion in a Robotized Envir...

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2023 IEEE International conference on Industrial technology, ICIT 2023

作者： Minora, Alberto Costa, Leonardo Tolochenko, Denys Kianoush, Sanaz Rampa, Vittorio Savazzi, Stefano University of Milano-Bicocca CogniMade S.r.l. Milano Italy CogniMade S.r.l. Milano Italy Milano Italy

ISBN: (纸本)9798350336504

The paper describes a sensor fusion architecture and develops a detection/localization algorithm that fuses the sensor data obtained from several environmental sources, namely a network of 122 GHz frequency modulated continuous wave (FMCW) radar, a 100 GHz imaging camera, and a network of Infra-Red (IR) array sensors. The capabilities of the proposed system are addressed based on several measurements and use cases tailored for a robotized environment and human-robot fenceless cooperation scenarios in manufacturing. The paper proposes methods for verification of safety procedures, analyzes localization, human-robot distance estimation accuracy, and end-to-end latency introduced by fusion and machine learning algorithms. It also quantifies the interference/noise sources introduced by moving robots/machinery, for different collaborative setups. The proposed platform is shown to effectively exploit heterogeneous sensors and data fusion techniques to improve performance. Lessons learned from the experiments are also discussed as well as the relative strengths/limitations of the proposed system. © 2023 IEEE.

关键词： Frequency modulation

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Application of Impulse radar to Snow and Ice Penetration: A Case for Supporting Snow Layer Modeling and Characterizations 26

Application of Impulse Radar to Snow and Ice Penetration: A ...

引用

conference on radar sensor technology XXVI Part of SPIE Defense and Commercial Sensing conference

作者： Fusselman, Jakob Shrestha, Yunish Suarez, Hernan Zhang, Yan (Rockee) Perera, Sudantha Pratt, Gordon Rota, Nicole Univ Oklahoma Adv Radar Res Ctr Sch Elect & Comp Engn Intelligent Aerosp Radar Team IART 3190 Monitor Ave Norman OK 73019 USA Avametrix LLC Boise ID 83702 USA

ISBN: (纸本)9781510650930;9781510650923

In this study, we intended to verify simulations and measured data to support the development of an ultra-small and low-power, handheld, or drone-carried ultra-wideband impulse radar (IR). Such a radar can remotely detect layers in snow or ice that tend to crack or break under certain conditions. First, we introduce the basic hardware design and configuration as a background, then we developed a series of electromagnetics sensing models, which can support training and testing of an algorithm based on machine-learning (ML), since the time-domain radar signatures of those hazardous structures are not widely available. We compared the principles and performance of these computational models and validated them with lab measurements and some initial snow measurements.

关键词： Wide-band radar Impulse radar Snow Penetration EM Modeling

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Generation and estimation of randomly maneuvering target trajectories towards metacognitive tracking radar applications 26

Generation and estimation of randomly maneuvering target tra...

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conference on radar sensor technology XXVI Part of SPIE Defense and Commercial Sensing conference

作者： Sreekantamurthy, Veena DeVault, Jordan A. Martone, Anthony F. Kirk, Benjamin H. Narayanan, Ram M. Penn State Univ Dept Elect Engn University Pk PA 16802 USA US Army Res Lab Sensor & Elect Devices Directorate Adelphi MD 20783 USA

ISBN: (纸本)9781510650930;9781510650923

There is growing research interest to merge the idea of a metacognitive radar with that of a tracking radar. The concept of metacognition can be broadly summarized as the process of learning about learning. In a metacognitive tracking radar, the system uses cognitive processes to detect and track a target in a dynamic environment. The radar then applies metacognitive techniques to select the cognitive process that yields the most accurate target track. In the context of target tracking, cognitive processes are various tracking algorithms. Currently, metacognitive tracking radar systems have only been demonstrated on targets of known trajectories. Their performance in the case of a randomly maneuvering target has not been explored. This paper presents an initial approach to this problem. First, an algorithm to generate random target trajectories is presented. Then, these trajectories are estimated using two estimation algorithms: the Extended Kalman Filter (EKF) and the Interacting Multiple Model (IMM) estimator. Finally, the performances of these two algorithms are compared.

关键词： Maneuvering target target tracking Kalman filter Interacting Multiple Model Estimator metacognitive radar

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Analysis and Mitigation of Interference in a Multi-radar Environment 7

Analysis and Mitigation of Interference in a Multi-RADAR Env...

引用

7th IEEE Electron Devices technology and Manufacturing conference (EDTM)

作者： Onyejegbu, Elochukwu Lee, Arman Ashimbayeva, Aigerim Nakarmi, Bikash Ukaegbu, Ikechi A. Nazarbayev Univ Elect & Comp Engn Dept Astana Kazakhstan Nanjing Univ Aeronaut & Astronaut Key Lab RADAR Imaging & Microwave Photon Nanjing Peoples R China

ISBN: (纸本)9798350332520

This paper examines the disturbances (spoofing and interferences) in a multi-radar environment. Analysis of these disturbances in linear frequency modulated (LFM) and random frequency-hopped LFM (RFHLFM) radar shows that the RFHLFM radar has better output performance compared to conventional LFM radar in terms of accuracy, SNR and range resolution, in the presence of multiple interference signals. Both radar systems operate in the K-band (18 - 27GHz) frequency range.

关键词： Interference mitigation radar linear frequency modulation random hopped LFM beat frequency

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Kalman Filter-Based Suspicious Object Tracking for Border Security and Surveillance Systems using Fixed Automotive radar 12

Kalman Filter-Based Suspicious Object Tracking for Border Se...

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12th sensor Signal Processing for Defence conference (SSPD)

作者： Park, Ji-il Jo, SeungHyeon Seo, Hyung-Tae Choi, Keun Ha Park, Jihyuk Kim, Kyung-Soo Minist Natl Def Def Reform Off Seoul South Korea DXC Luxoft Automot Business Seoul South Korea Kyonggi Univ Dept Mech Engn Suwon South Korea Korea Adv Inst Sci & Technol Daedong KAIST Res Ctr Mobil Daejeon South Korea Yeungnam Univ Dept Automot Engn Gyongsan South Korea Korea Adv Inst Sci & Technol Dept Mech Engn Daejeon South Korea

ISBN: (纸本)9798350337327

With recent active research related to autonomous driving, object tracking technology using autonomous driving sensors such as LiDAR and radar has also undergone extensive development. Accordingly, attempts are being made to apply autonomous sensors not only on autonomous vehicles but also in various fields such as security and surveillance. However, since security and surveillance systems should be able to detect and track objects even under extreme environmental conditions such as snow, rain, and fog during the day or night, radar systems that meet the relevant requirements are essential. In South Korea, the distance of the Military Demarcation Line (MDL) is 250 km, and a considerable investment would be required to install more than 1,000 radars and PCs with built-in GPUs in all sections for a border security and surveillance system. Therefore, in this study, a Kalman filter-based object tracking system is explored rather than applying deep learning, which requires GPU processing. Additionally, most objects along the MDL are highly likely to be suspicious objects, so a radar sensor is most suitable because it provides coordinates, distance, and speed of movement without needlessly determining whether an object is an enemy or not. For accurate object detection and tracking performance, two motion models for the Kalman filter, a constant acceleration model (CAM) and a constant turn rate and acceleration model (CTRAM), are compared to identify a suitable model for each object movement state.

关键词： radar tracking Kalman filter Security and surveillance Scientific security system Defense innovation

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A Closed-Form Solution for Target Localization and Clock Refinement in Distributed MIMO radar Systems Under Inaccurate Clock Synchronization

A Closed-Form Solution for Target Localization and Clock Ref...

引用

IET International radar conference 2023, IRC 2023

作者： Song, Haibo Wang, Jie Yuan, Fu Wu, Guofu Fan, Caizhi College of Aerospace Science and Engineering National University of Defense Technology Changsha China

ISBN: (纸本)9781839539954

Due to limitations in clock synchronization technology and sensor non-ideal clocks, achieving accurate clock synchronization for distributed multiple-input multiple-output (MIMO) radar systems is not feasible. This paper addresses the issue of target localization and clock synchronization in the systems under inaccurate clock synchronization. Firstly, the problem is approached by deriving the Cramer-Rao lower bound (CRLB) of the measurement model and analyzing the increase in CRLB of target location to illustrate the necessity of considering clock synchronization error when locating the target. Then, a closed-form solution is proposed to locate the target and refine clock parameters. Specifically, based on the maximum likelihood and maximum a posteriori estimation theory and the best linear unbiased estimation theory, the calculation formulas to estimate the clock synchronization error and the target location are derived stepwise, where the former depends on the estimate of the latter. Finally, simulation results demonstrate that the proposed method provides better target localization accuracy than state-of-the-art algorithms and can effectively present the estimates of the unknowns under moderate noise level. © The Institution of Engineering & technology 2023.

关键词： MIMO systems

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A FAST METHOD FOR FOCUSING AZIMUTH CYCLICALLY INTERRUPTED SAR ECHO VIA DECONVOLUTION

A FAST METHOD FOR FOCUSING AZIMUTH CYCLICALLY INTERRUPTED SA...

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IET International radar conference 2023, IRC 2023

作者： Qian, Yulei Leng, Pengfei Jia, Zhenyu Zhu, Xingchen Kuang, Huaxing Liu, Yuanpeng Dai, Yimian Nanjing Marine Radar Institute Nanjing China Cellege of Computer Science and Engineering Nanjing University of Science and Technology Nanjing China

ISBN: (纸本)9781839539954

Azimuth cyclically interrupted Synthetic Aperture radar (SAR) echo exists in regard of novel radar task or sensor geometries. To focusing interrupted SAR echo, a number of algorithms based on solution of ill-posed problem are proposed. However, solving ill-posed problems usually consume large computing resource. In order to solve this issue, a novel fast method for focusing cyclically interrupted SAR echo is raised in this paper. The investigated method processes interrupted SAR echo by adding zeros operation, range migration based focusing, Point Spread Function (PSF) estimation and fast azimuth restoration via Richardson-Lucy deconvolution method. The proposed method can reduce illusory targets caused by azimuth interruption and operates much faster than method on basis of complex deconvolution via Complex Fast Iterative Shrinkage-Thresholding Algorithm (FISTA). Experimentations of simulation and veritable SAR data processing demonstrate the validity of the proposed method. © The Institution of Engineering & technology 2023.

关键词： Deconvolution

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Decentralized Localization of Distributed Phased Array Elements Using High-Accuracy Ranging and Multidimensional Scaling

Decentralized Localization of Distributed Phased Array Eleme...

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Wireless and Microwave technology conference (WAMICON)

作者： Dula, Matthew J. Shandi, Naim Nanzer, Jeffrey A. Michigan State Univ Elect & Comp Engn E Lansing MI 48824 USA

ISBN: (纸本)9798350344943

Wirelessly coordinated distributed phased arrays show promise for a variety of communication and sensing applications. However, phase-coherent operation of distributed systems requires precise localization of the transmitting nodes in the array, which presents a challenge for internode links operating at microwave frequencies. Previous works have been dedicated to centralized localization schemes, but these systems are vulnerable to single-point failures under a variety of conditions. In this work, we demonstrate a decentralized approach to network localization using a spectrally-sparse and narrow-band two-tone waveform for range estimation and multidimensional scaling for network realization. We implement the approach using a six-node network of software-defined radios (SDRs) and demonstrate that the system obtains a mean localization error of 1.9 cm, supporting distributed beamforming at frequencies of more than 1 GHz.

关键词： beamforming distributed arrays localization radar wireless sensor networks

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Contactless In-Bed Movement in Various Scales Classification with CW radar 20

Contactless In-Bed Movement in Various Scales Classification...

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20th European radar conference, EuRAD 2023

作者： Lu, Hui Wenzel, Marvin Steigleder, Tobias Klinger, Isabell Ostgathe, Christoph Koelpin, Alexander Brandenburg University of Technology Electronics and Sensor Systems Germany Hamburg University of Technology Institute of High-Frequency Technology Germany Universitätsklinikum Erlangen Department of Palliative Medicine Germany

ISBN: (纸本)9782874870743

Continuous wave (CW) radar has been used to detect motions in various scenarios. In this paper, we first present a data-driven method to classify in-bed movement from various scales with CW radar. Data augmentation techniques are used to address the small sample size problem, resulting in a significant improvement of over 10% in accuracy. Three machine learning classifiers, namely random forest, k-nearest neighbor (k-NN), and multilayer perceptron (MLP), are evaluated, with random forest demonstrating the highest accuracy of 81.94% and relative improvement of 22.5% compared to k-NN. The movement sitting up from the bed can be classified with 97.5% accuracy. Additionally, the method can classify two types of movements involving only arm and leg movements, which are not visible to the radar, by detecting small-scale joint movements from the back with an accuracy of 74.8%. © 2023 European Microwave Association (EuMA).

关键词： Machine learning

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Implementing ASTERIX Cat 015 for Passive Coherent Location radar Data Exchange 9

Implementing ASTERIX Cat 015 for Passive Coherent Location R...

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9th International conference on Wireless and Telematics, ICWT 2023

作者： Rhomadoni, Ali Suryana, Joko School of Electrical Engineering and Informatics Institut Teknologi Bandung Telematics Laboratory Bandung Indonesia School of Electrical Engineering and Informatics Institut Teknologi Bandung Radio Telecommunication and Microwave Laboratory Bandung Indonesia

ISBN: (纸本)9798350305029

The ASTERIX organization has introduced a new data format standard, ASTERIX Cat 015, for Independent Non-Coherent Surveillance (INCS) sensor data. This standard is particularly suitable for exchanging Passive Coherent Location (PCL) radar data. In this paper, a practical method for implementing ASTERIX Cat 015 as a data format for PCL radar data exchange, with predefined transmitter and receiver positions was presented. Additionally, a technique for detecting targets using ellipse intersection calculation, which utilizes the ASTERIX Cat 016 data stored in the database for passive radar configuration information was proposed. Finally, The feasibility of using ASTERIX Cat 015 as a standardized data format for passive radar data exchange was demonstrated successfully with data radar obtained from passive radar system developed by the Bandung Institute of technology and the Indonesian Ministry of Defense. © 2023 IEEE.

关键词： Electronic data interchange

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