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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151-160 订阅

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Multi-Instrument Atmospheric Remote Sensing with 94 GHz radar as Primary Data Source 21

Multi-Instrument Atmospheric Remote Sensing with 94 GHz Rada...

引用

21st European radar conference, EuRAD 2024

作者： Yanovsky, Felix Pitertsev, Alexander Unal, Christine Russchenberg, Herman Delft University of Technology GRS Department Netherlands State University Kyiv Aviation Institute ERMIT Department Ukraine

ISBN: (纸本)9782874870798

This paper develops procedures and presents results of processing W-band radar signals reflected from rainfalls and comparing them with non-radar observations. A laser disdrometer, weather stations, and a radiometer are used as non-radar sensors. The data has been accumulated during 2021-23. To process this data, special software with graphical interface is developed in the MATLAB. Algorithms for selecting the suitable data and processing the results of disdrometer measurements of drop size distribution are developed to estimate radar reflectivity in W-band and integrate the multi-sensor measurement data. The results of estimating radar reflectivity and velocity spectra from the disdrometer and the radar reflectivity and Doppler spectra are compared. The possibility of estimating polarization characteristics is provided. The proposed methodology can be used for calibration of cloud radars, which has important implications for radar meteorology, hydrology and climate research. © 2024 European Microwave Association (EuMA).

关键词： MATLAB

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

A proposed concept for metacognitive configuration switching...

引用

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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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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sensor Resource Management Allocation Strategy for Multi-target Tracking in Distributed radar Network 2

Sensor Resource Management Allocation Strategy for Multi-tar...

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2nd International conference on Electronic Information Engineering and Computer Communication, EIECC 2022

作者： Bai, Mengdi Zhang, Qilei Yu, Ruofeng Dong, Zhen Sun, Bin College of Electronic Science and Technology National University of Defense Technology Hunan Changsha China Beijing Institute of Tracking and Telecommunication Technology Beijing China

ISBN: (纸本)9781510663121

The complexity of combat environment makes it more and more difficult for traditional monostatic radar to track targets continuously. The radar network technology can effectively improve the overall tracking performance. Therefore, in the distributed radar network scenario, a joint sensor selection, bandwidth and dwell time resource optimal allocation algorithm is proposed for multi-target tracking. At first, the local state is estimated and corrected by the Covariance Intersection (CI) fusion strategy. Then the algorithm aims to minimize the predicted Bayesian Cramer-Rao Lower Bound (BCRLB) of the worst target tracking mean square error. And a joint radar node selection, bandwidth and dwell time resource optimization model is established for multi-target tracking in distributed radar network. The radar node is selected with BCRLB as the metric criterion first. Then the optimal model after sensor selection is carried out by using the cyclic minimum algorithm and the minimax algorithm. Simulation experiments show that compared with the uniform resource allocation and single-resource optimal allocation algorithms, the proposed algorithm can effectively improve the multi-target tracking accuracy under the limited resources. © 2023 SPIE.

关键词： Bandwidth

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sensor and Resource Scheduling for Search and Track Tasks in Distributed radar sensor Network

Sensor and Resource Scheduling for Search and Track Tasks in...

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7th International conference on Electronics technology, ICET 2024

作者： Su, Yang Shi, Shengnan Nanjing University of Information Science and Technology School of Electronic and Information Engineering Nanjing China Nanjing University of Posts and Telecommunications College of Telecommunications and Information Engineering Nanjing China

ISBN: (纸本)9798350363951

In this paper, an adaptive sensor and resource scheduling strategy is proposed to simultaneously perform the tasks of the surveillance search and the tracking of time-varying number of maneuvering targets in radar sensor network (RSN). Firstly, aiming to maximize the search and tracking (SAT) performances while saving the resource consumption as much as possible, we model the sensor and resource scheduling problem as a mixed-integer mathematic optimization problem. Secondly, to tackle the nonconvex optimization problem, an efficient solution technique integrated with the generalized reward descent (GRD) and the modified particle swarm optimization (MPSO) algorithm is put forward, where the entropy theory is employed in the design of the MPSO. Finally, numerical simulation results are provided to demonstrate the effectiveness of the proposed algorithm. © 2024 IEEE.

关键词： Particle swarm optimization (PSO)

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CW radar-based Non-Contact Respiration Monitoring using Complex-Valued Neural Networks 21

CW Radar-based Non-Contact Respiration Monitoring using Comp...

引用

21st European radar conference, EuRAD 2024

作者： Lu, Hui Ostgathe, Christoph Koelpin, Alexander Steigleder, Tobias Brandenburg University of Technology Cottbus-Senftenberg 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)9782874870798

Machine learning-based respiration monitoring using continuous wave (CW) radar has been studied. However, most of the models are real-valued (RV), which only takes the magnitude of signals as input. Complex-valued (CV) signals can be formulated from radar baseband signals. In this paper, we compare CV-based and equivalent RV-based neural networks (NN) models to reconstruct the respiration signal with the 61 GHz CW radar. We demonstrate two model structures, a fully connected NN (FCNN) and a combination of the convolutional network and bidirectional gated recurrent units (ConVGRU), in CV-based and equivalent RV-based models, respectively. Ten hours of measurements from a clinical study are used to validate the performance. ConVGRU surpasses FCNN in both RV and CV. CV-based ConVGRU outperforms the RV-based ConVGRU with a smaller average breathing rate error of 0.55 breaths per minute (bpm), with more than 93% of the measurements achieving an error of less than 2 bpm. © 2024 European Microwave Association (EuMA).

关键词： Model buildings

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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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Wideband RCS Reduction of the Dipole Array Based on Neural Network Modeling 16

Wideband RCS Reduction of the Dipole Array Based on Neural N...

引用

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

作者： Liu, Zhi-Xian Shao, Wei Li, Jin-Qi Peng, Lin Univ Elect Sci & Technol China Sch Phys Chengdu 611731 Peoples R China Guilin Univ Elect Technol Key Lab Cognit Radio & Informat Proc Guilin 541004 Peoples R China

ISBN: (纸本)9798350389968

A wideband metasurface with about 180 degrees +/- 37 degrees reflection phase difference with grounded dielectric substrate is designed in this paper. The metasurface is used to reduce the radar cross section (RCS) of the dipole array based on the phase cancellation. The scanning performance and monostatic RCS of the array are studied. In the normal direction, at least 6dB RCS reduction from 8.5 to 26GHz is realized and the gain loss is smaller than 1dB in the radiation band. The design efficiency is improved by the introduction of the artificial neural network (ANN) model. The parameter selection method and Fourier-series based transfer function are utilized to reduce the dimensions of the input and output of the ANN model, respectively.

关键词： Artificial neural network dipole antenna radar cross-section reduction scanning performance

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Analysis of sensor technology application in Chengdu: A case study of LiDAR 2

Analysis of sensor technology application in Chengdu: A case...

引用

2nd International conference on Digital Society and Intelligent Systems, DSInS 2022

作者： Deng, Fayun Wang, Jinhui Yu, Naiqi Tang, Min Library of Southwest Jiaotong University No. 999 Xi'an Road Pidu District Sichuan Chengdu China School of Public Administration Southwest Jiaotong University China School of Humanities Southwest Jiaotong University China

ISBN: (纸本)9781510663244

sensor technology is an important support for the development of intelligent manufacture, industrial Internet, smart city and other fields. As an important economic city in western China and the leader of Chengdu-Chongqing Economic Circle, Chengdu has long been planning and making arrangement in the sensor industry, which is supported by a large number of universities and scientific research institutes;This study searches "the laser radar in Chengdu" on incoPat patent analysis platform, and analyzes the application trend, applicants, technical field and patent operation data of the search results, so as to explore the advantages and disadvantages in the field of laser radar industry in Chengdu. Then it puts forward the corresponding strategies to promote the development of local sensor industry by improving the transformation and application of sensor achievements. © 2023 SPIE.

关键词： Optical radar

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Adaptive Visual-Aided 4D radar Odometry Through Transformer-Based Feature Fusion

Adaptive Visual-Aided 4D Radar Odometry Through Transformer-...

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2024 International conference on Intelligent Robots and Systems

作者： Zhang, Yuanfan Xiao, Renxiang Hong, Ziyang Hu, Liang Liu, Jie Harbin Inst Technol Sch Comp Sci & Technol Shenzhen Peoples R China Harbin Inst Technol Sch Mech Engn & Automat Dept Automat Shenzhen Peoples R China Harbin Inst Technol Inst AI Res Harbin Peoples R China

ISBN: (纸本)9798350377712;9798350377705

Multimodal sensor fusion has been successfully utilized in many odometry and localization methods as it increases both estimate accuracy and robustness in application scenarios. To address the challenge of odometry under varying-weather conditions, we propose a novel visual 4D radar fusion based odometry in an unsupervised deep learning approach. In our method, we adopt transformer-based cascaded decoders to facilitate efficient feature extraction of images and radar point clouds. Considering that radars are weather-agnostic and information-rich cameras are susceptible to adverse weathers, we deliberately introduce an adaptive attention-based feature fusion mechanism, in which the attention shifts dynamically to adapt to changing weather conditions based on the amount of information content in image features. Through extensive comparative experiments, our method surpasses different state-of-the-art single-modal odometry estimation methods. Our code and trained model will be released publicly.

关键词： radar imaging

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