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

共 224 条记录，以下是1-10 订阅

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Live Demonstration: Real-Time Gait and Respiration Analysis using Ultra-Wideband radar

Live Demonstration: Real-Time Gait and Respiration Analysis ...

引用

2024 Biomedical Circuits and Systems conference

作者： Chen, Ziwei Hadjipanayi, Charalambos Yin, Maowen Constandinou, Timothy G. Imperial Coll London Dept Elect & Elect Engn London England Imperial Coll London Care Res & Technol Ctr UK Dementia Res Inst London England

ISBN: (纸本)9798350354966;9798350354959

This paper presents a real-time algorithm developed for an ultra-wideband (UWB) radar sensor that performs comprehensive gait and respiration analysis. The method (1) estimates feet trajectory and respiration signals from radar data, (2) analyzes peak distributions and locations in the frequency spectrum, (3) identifies if either signal exhibits a sinusoidal waveform, (4) distinguishes between walking and pure breathing states based on signal characteristics, and (5) extracts clinically relevant features. The algorithm extracts spatiotemporal gait parameters for walking individuals, including step count, step length, cadence, and walking speed [1]. For stationary individuals, the system extracts the respiration rate along with a confidence level indicating whether the radar signal contains respiratory information or body-movement artifacts [2]. This demonstration highlights the potential of UWB radar technology as a dual-functional tool for continuous health monitoring applications, both in clinical and home environments. (Demo type: Academia) © 2024 IEEE.

关键词： Image segmentation

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An Approach for Multi-Target Classification for FMCW 4D Millimeter-Wave radar Imaging 16

An Approach for Multi-Target Classification for FMCW 4D Mill...

引用

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

作者： Su, Shixian Fu, Chaowei xi, Guangrong Wan, Qingmian Peng, Hongli Shanghai Jiao Tong Univ State Key Lab Radio Frequency Heterogeneous Integ Shanghai Peoples R China Shanghai Radio Equipment Res Inst Shanghai Peoples R China Shanghai Shentian Ind Co Ltd Shanghai Peoples R China

ISBN: (纸本)9798350389968

In this paper, we present an approach to improve the effectiveness of multi-target classification for FMCW 4D millimeter-wave (mmW) radar point clouds. Our method involves initially grouping the point cloud using the DBSCAN algorithm, followed by segmentation into individual targets. Subsequently, these segmented targets are input into the modified PointNet++ architecture for classification. The results show that our method outperforms existing methods in the task of multi-target classification in 4D mmW radar.

关键词： FMCW mmW radar Multi-Target Classification DBSCAN

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Doppler Measurement-Based Positioning and Tracking Methods with External Radiation radar 2

Doppler Measurement-Based Positioning and Tracking Methods w...

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2nd IEEE International conference on Signal, Information and Data Processing, ICSIDP 2024

作者： Liu, Weifeng He, Linqing Tian, Zhengwang Shaanxi University of Science and Technology School of Electrical and Control Engineering Xi'an China Hangzhou Dianzi University School of Automation Hangzhou China

ISBN: (纸本)9798331515669

This paper introduces a new approach for addressing the complex problem of Multi-target tracking in external radiation radar systems equipped with Multi-static Doppler measurements. Drawing from research on sensor arrays and mobile sensors, the method utilizes the Generalized Labelled Multi-Bernoulli (GLMB) filter to navigate the intricacies of Multi-target tracking across sensor arrays. The study validates the effectiveness of the GLMB and the computationally efficient Gibbs-GLMB filters in a setup involving three transmitters and one receiver. Experimental results, assessed with the Optimal Sub-Pattern Assignment (OSPA) metric, suggest that the Gibbs-GLMB filter accelerates computation while potentially compromising on measurement precision, which could lead to reduced accuracy in specific cases. The investigation also examines the influence of sensor geometry on tracking results, indicating that there is an association between tracking performance and sensor arrangement. © 2024 IEEE.

关键词： radar target recognition

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Multi-dimensional DBSCAN Clustering Approach for Millimeter Wave radar Point Cloud Data 16

Multi-dimensional DBSCAN Clustering Approach for Millimeter ...

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

作者： Li, Hanchen Fu, Chaowei xi, Guangrong Wang, Qingmian Peng, Hongli Shanghai Jiao Tong Univ State Key Lab Radio Frequency Heterogeneous Integ Shanghai Peoples R China Shanghai Radio Equipment Res Inst Shanghai Peoples R China Shanghai Shentian Ind Co Ltd Shanghai Peoples R China

ISBN: (纸本)9798350389968

Addressing the poor resolution challenge of traditional Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithms in differentiating objects in close proximity, this paper introduces a multi-dimensional DBSCAN (MD-DBSCAN) clustering approach, considering the Doppler characteristics of millimeter wave (mmW) radar. Our approach is based on the idea that the whole clustering procedure is divided into two stages, i.e., velocity clustering and spatial one. Specifically, for each group, the clusters of varying radial velocities are firstly segmented, then followed by spatial dimension clustering. Experimental results demonstrate a 14.2% improvement in number of point clouds with this approach over traditional methods, underscoring its effectiveness in more accurately distinguishing closely situated objects in autonomous driving scenarios.

关键词： mmW radar DBSCAN Clustering Algorithm

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Design and Characterization of a Passive Wireless Chipless RFID Humidity sensor 11

Design and Characterization of a Passive Wireless Chipless R...

引用

11th International conference on Information technology, ICIT 2023

作者： Wang, Bo Li, Youwei Gao, Fei Han, Bei Chen, Chaohui He, Junqiang School of Automation Xi'An University of Posts and Telecommunications Xi'an China

ISBN: (纸本)9798350320060

A novel passive, low-cost chipless RFID tag sensor is proposed. The label sensor provides the relative humidity (RH) of the current label. The label sensor uses microwave backscattering technology. The label uses copper as conductor, and the substrate material is Rogers RT/duroid/5880 flexible substrate. Poly Vinyl Alcohol (PVA) film sensitive to humidity changes is used as sensitive material. radar Cross Section (RCS) was used for analysis. The RF sensing performance of different sizes and different permittivity is studied. The simulation results show that the RCS amplitude changes obviously with the change of dielectric constant, which can be used to reflect the current humidity change. The optimal size of the label sensor substrate proposed in this paper is 30mm × 30mm, its operating frequency is 1 GHz-2 GHz, its measured humidity range is 12.3% - 64 %, the RCS amplitude is reduced from -28.4dB to -40.5dB, the deviation is 12.1 dB. The simulation experiment shows the feasibility of sensor label in detecting humidity levels. © 2023 IEEE.

关键词： radar cross section

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Three-Dimensional Cooperative Localization Based on Active radar/Infrared at Different Sites 2

Three-Dimensional Cooperative Localization Based on Active R...

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2nd IEEE International conference on Signal, Information and Data Processing, ICSIDP 2024

作者： Qian, Jialun Wang, Linhai Zhou, Shenghua Gong, Min Zhao, Pengfei Yang, Jian Sui, xin Xidian University National Key Laboratory of Radar Signal Processing Xi'an China China Academy of Launch Vehicle Technology Beijing China

ISBN: (纸本)9798331515669

Multi-source perception fusion positioning technology based on heterogeneous sensors is a key research area in the field of target positioning. The heterogeneous sensor positioning system composed of radar and infrared has a wide range of applications. However, existing works mostly use radar measurement to expand the dimension of infrared data to locate target, which will introduce the large angle measurement error of radar into infrared. In this paper, we propose a radar/infrared linear weighted least-squares (WLS) localization algorithm based on target motion model. First, we build linear equations of target position relative to radar and infrared based on the space relationship, respectively. In this manner, the position of target can be solved through a linear optimization problem. Two kinds of equations are combined by deformation and solved by WLS algorithm to achieve the target localization. Simulation results show that the proposed method has better target localization performance than that of single radar, and with the improvement of the measurement accuracy of radar/infrared sensors, the localization effect is better. © 2024 IEEE.

关键词： radar measurement

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radar-Camera Fusion Method for All-Weather Traffic Perception in Complex Scenes 24

Radar-Camera Fusion Method for All-Weather Traffic Perceptio...

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24th COTA International conference of Transportation Professionals: Resilient, Intelligent, Connected, and Lowcarbon Multimodal Transportation, CICTP 2024

作者： Dai, Zhe Li, Kong Wang, Xuan Song, Huansheng Cui, Hua Yuan, Changwei College of Transportation Engineering Chang’an Univ. Xi’an China School of Computer Science Xi’an Polytechnic Univ. Xi’an China School of Information Engineering Chang’an Univ. Xi’an China

ISBN: (数字)9780784485484

ISBN: (纸本)9780784485484

This paper proposes a decision-level fusion approach to effectively integrate multi-source heterogeneous sensor data to meet the challenge of all-weather traffic perception. First, considering the effects of illumination and climate factors, we encode the two types of information to guide the adaptive fusion process of heterogeneous sensor data in different scenarios. Second, we transform the radar and camera fusion task into classification and regression tasks. The transformation facilitates implementing the fusion perception using existing classifiers and regressors with coded information into the model. Finally, we conduct experiments on a homemade data set containing four kinds of scenes, e.g., sunny, foggy, dusk, and night. The results demonstrate that the proposed method can greatly improve the accuracy of vehicle detection, compared to traditional single-source sensing methods. It shows the potential significance of intelligent traffic parameter estimation and traffic safety monitor. © ASCE.

关键词： Encoding (symbols)

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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...

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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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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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A joint sparse Bayesian learning for wideband DOA estimation

A joint sparse Bayesian learning for wideband DOA estimation

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2024 conference on Spectral technology and Applications, CSTA 2024

作者： Zhao, Yonghong Liu, Jisong Wang, Junlong Dong, Shuxin Shannxi Key Laboratory of Complex System Control and Intelligent Information Processing Department of Automation and Information Engineering Xi'an University of Technology Shaanxi Xi'an710048 China

ISBN: (纸本)9781510683082

Wideband direction of arrival (DOA) estimation using sensor array is a noteworthy problem frequently occurring in many applications involving radar, sonar, and communication. We present a wideband DOA method based on a sparse Bayesian learning of multiple sub-bands jointly with the redundant dictionary matrix at the reference frequency. Explicitly enforcing the focusing operation and the singular value decomposition (SVD) to sensor measurements is motivated by a desire to decrease the computational complexity and storage capacity. A joint sparse Bayesian learning framework is proposed to deal with multiple sub-bands under one segment to obtain the DOA information. Moreover, the proposed method can be directly extended to multiple segments. Comparing to other wideband DOA estimation methods, the proposed method has the advantages of increased resolution, higher accuracy, and correlation of the sources, as well as not requiring the initial angles for the focusing matrix. Simulations are provided to show the effectiveness and improved performance of the proposed method. © 2024 SPIE.

关键词： Direction of arrival

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