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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191-200 订阅

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Non-Contact Blood Pressure Estimation Based on Doppler radar With Adaptive Filtering Technique

Non-Contact Blood Pressure Estimation Based on Doppler Radar...

引用

2024 Asia-Pacific Microwave conference

作者： Zheng, Zhi Shi, Haotian Wang, Bo Zhou, Zhiying Zhu, Chunxiang Guo, Yongxin Natl Univ Singapore Dept Elect & Comp Engn Singapore Singapore Natl Univ Singapore Suzhou Res Inst Suzhou Peoples R China City Univ Hong Kong Dept Elect Engn Hong Kong Peoples R China

ISBN: (纸本)9798350363555;9798350363548

This study presents a non-contact continuous blood pressure (BP) estimation method utilizing a customized K-band continuous-wave radar sensor. Four time-domain features, extracted from the radar-detected wrist pulse, serve as key parameters for BP estimation. Additionally, an adaptive filtering technique is implemented to effectively mitigate low-frequency noise. A support vector machine technique is employed for BP estimation. The experimental protocol involved collecting continuous daytime records from six participants over three days. Results demonstrate the efficacy of the proposed adaptive filtering BP estimation method. These findings underscore the potential of the proposed method for future reliable non-contact BP monitoring applications.

关键词： Biomedical radar Non-contact blood pressure estimation Wrist pulse waveform

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Automotive radar Data Communication and Simulation Using ROS 8th

Automotive Radar Data Communication and Simulation Using RO...

引用

8th International conference on Information and Communication technology for Intelligent Systems, ICTIS 2024

作者： Sanjaya, D.S. Hullikuppi, Prashanth Joshi, Abhay Kulkarni, Nitish D. Basawaraj School of Electronics and communication Engineering KLE Technological University Karnataka Hubballi India

ISBN: (纸本)9789819766833

In the rapidly advancing field of autonomous driving technologies, the demand for more reliable and robust systems for sensing different parameters has witnessed a significant upsurge. Particularly, the reliability and precision for sensing the objects and their parameters like relative position and distance in different weather conditions increase the requirement of such systems. In response, a comprehensive framework that not only ensures reliability and precision but also provides visual insights into the monitored area with scale-able features has become necessary to build, prototype, and develop prominent perception-based autonomous applications. Thus, our proposed solution provides an efficient way to simulate the communication of an edge radar sensor with the Electronic Control Unit (ECU), which is further responsible for further actions based on the perceived data, using the Robot Operating System (ROS). Our solution also includes a framework that deals with the temperature management of the radar sensor to keep the radar in optimum condition when the radar temperature goes out of the operating temperature range. Integration of ROS with radar data serves as an economic, industry standard, and a better-performing solution. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Automotive radar

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Statistical analysis of radar parameters from published research 27

Statistical analysis of radar parameters from published rese...

引用

conference on radar sensor technology XXVII

作者： Zaunegger, Jackson S. Singerman, Paul G. Narayanan, Ram M. Rangaswamy, Muralidhar Penn State Univ University Pk PA 16802 USA Air Force Res Lab Sensors Directorate Wright Patterson AFB OH 45433 USA

ISBN: (纸本)9781510661844;9781510661851

Determining what radar parameters to use for a given scenario is a non-trivial task. When working in a new radar domain, it is quite common to turn to published literature to understand how to approach a new problem. When reviewing research, there can be such a wide range of values used in a radar design that it can become difficult to determine what values to use when designing a new system. An ideal scenario would be to turn to a single source that provides base listings for different radar parameters, but at the time of writing no source is known. In this work, we aim to statistically analyze published radar literature to determine a base set of radar parameter values for a given domain. These parameters include things such as the carrier frequency, bandwidth, pulse repetition frequency, and target range, among many others. To do this, a base set of parameters that are included in nearly all radar systems design will need to be established. Then, by selecting published research in specific domains (ground penetrating radar, atmospheric sensing, imaging, etc...), we can determine the most common values for these parameters. In this paper, we examine the most common values for a given domain, as well as analyze the relationships between these parameters. This information could then be used to develop simulations, optimization problems, or provide insight when developing a new radar system.

关键词： Language Modeling Atmospheric Analysis Ground Penetrating radar Snow and Ice Remote Sensing Soil Moisture Analysis

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A Single Polarization Absorptive-Diffusive Frequency- selective Radome Based on Hybrid Two-dimensional and Three-dimensional Structure 16

A Single Polarization Absorptive-Diffusive Frequency- select...

引用

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

作者： Nie, Lifeng Pang, Xiaoyu Zhao, Shenghui Zhang, Xuewei AVIC Res Inst Special Struct Aeronaut Composite Aviat Key Lab Sci & Technol High Performance Elec Jinan 250023 Peoples R China

ISBN: (纸本)9798350389968

A novel frequency-selective rasorber (FSR) based on hybrid two-dimensional (2-D) and three-dimensional (3-D) structures is proposed, which provides a high-efficiency transmission band and a broadband radar cross section (RCS) reduction by hybridizing diffusion and absorption. By utilizing the periodicity of the lossy-dipole which transmits electromagnetic (EM) waves when the lossy-dipole operates in half-wavelength mode (2f(0)) and whole-wavelength mode (4f(0)). It can absorb EM wave at the frequency f(0) and 3f(0) by loading lumped resistor on 3-D folded dipole. A 2-D band-pass frequency selective surface operating at 2f(0) is designed, which acts as an equivalent ground for the other layers outside the transmission band. At the frequency of 4f(0), the EM wave transmits through the folded lossy-dipole. Therefore a polarization convert structure is used to broaden the stealth band at 4f(0). The results show that the transmission greater than 80% in the frequency range of 8.0 to 10.2 GHz with a 24.2% fractional bandwidth. In addition, from 1.95 to 5.16 GHz and 12.5 to 14 GHz the absorption is more than 80%. Finally, the polarization convert rate greater than 80% in the frequency range of 14 to 20GHz. The proposed structure has a broad application prospect in radar radome for its broadband stealth performance.

关键词： radar cross section

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A UWB radar and Machine Learning-based tool for detecting victims through foliage in search and rescue operations 13

A UWB radar and Machine Learning-based tool for detecting vi...

引用

13th International conference on Modern Circuits and Systems Technologies (MOCAST)

作者： Paliodimos, Efstratios N. Papadopoulos, Fotios G. Uzunidis, Dimitris Patrikakis, Charalampos Z. Mitilineos, Stelios A. Univ West Attica Dept Elect & Elect Engn Athens Greece

ISBN: (纸本)9798350385434;9798350385427

This research explores the application of radar sensors and Machine Learning (ML) methods for human detection, aiming at helping First Responders (FRs) in their duties. Use cases of interest include scenarios where individuals, possibly victims of a blizzard or extreme temperatures, are obscured by vegetation and foliage - a common challenge during Search and Rescue (SAR) operations in forests and the wilderness. In such cases, the transmitted radar signal scattered from the unpredictably moving foliage is added to the one scattered by the victim. This adds extra layers of complexity to the problem at hand and specifically to the task of discriminating between the two signals while classifying the latter The contribution of this work lies in: (a) the integration of a proposed tool for victim detection through foliage using predominantly Commercial-Off-The-Shelf (COTS) components and a radar sensor, (b) the development of a first-of-its-kind, openly accessible dataset of different human subjects in diverse types of vegetation and wind conditions during a 3 month period, and (c) the development of an ML-based tool, exploiting transfer learning, to accurately detect the presence of subjects concealed by foliage. The research presents promising results in terms of detection success rates, underscoring the potential of this technology in enhancing FRs' capabilities.

关键词： Search and Rescue (SAR) First Responders (FRs) Human detection Foliage Ultra-WideBand (UWB) radar Machine Learning (ML)

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Implementation of 3D Automotive SAR Imaging 21

Implementation of 3D Automotive SAR Imaging

引用

21st European radar conference, EuRAD 2024

作者： Noegel, Theresa Reinecke, Marc Schwenger, Lars Heidbrink, Max Hoffmann, Marcel Vossiek, Martin Germany

ISBN: (纸本)9782874870798

Autonomous vehicles demand a precise environmental understanding and are often reliant on radar technology for distance measurement and velocity evaluation. However, automotive radars suffer from poor angular resolution due to their limited aperture size. Synthetic Aperture radar (SAR) mitigates this limitation by leveraging the vehicle's movement to synthesize a larger aperture, which significantly enhances the angular resolution. While SAR has been utilized for 2D imaging in the automotive field, this work presents a novel approach to generate 3D SAR images by rotating a typical automotive radar sensor to obtain a real aperture in the elevation direction. By conventionally synthesizing the azimuth aperture through vehicle movement, a complete 3D SAR reconstruction of the environment becomes feasible. Real-world measurement results validate the theoretical expectations and demonstrate that additional height information can be provided. Based on these findings, we discuss the identified challenges, define measures to reduce the computational complexity, and derive a design proposal for a radar system suited for 3D automotive SAR applications. © 2024 European Microwave Association (EuMA).

关键词： Automotive radar

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Research on Optimization of Computer Intelligent Processing Algorithm of Millimeter-Wave radar Signal in Vehicle Tail Blind Area Detection System 4

Research on Optimization of Computer Intelligent Processing ...

引用

4th IEEE International conference on Electronic technology, Communication and Information, ICETCI 2024

作者： Jinsheng, Wang Jiarong, Dai Rui, Zheng Deqiang, Bu Yuanyuan, Lv Fengyu, Chen Shandong University of Engineering and Vocational Technology Jinan China

ISBN: (纸本)9798350361643

This paper introduces the design scheme of vehicle anti-collision warning system. This project plans to use millimeter wave radar sensor, single chip microcomputer, anti-false stack filter, LED and other devices, through analog and digital sampling, fast Fourier transform, constant false alarm operation and frequency domain matching and other methods to obtain the relative distance and speed between the vehicle and the vehicle. Through the establishment of the traffic spacing - safety model, the real-time early warning of traffic is realized to prevent the occurrence of traffic accidents. This project will use digital FIR digital filtering, FFT transformation, constant false alarm detection and other methods to detect the distance, speed and other information of the target. A multilevel forward collision avoidance prediction method for vehicle forward impact on structural road surface is established. A multi-level forward collision avoidance prediction method based on millimeter-wave radar detection mechanism and driving safety distance is established. The test results show that the measuring accuracy of the stationary object is 4.5%. It is feasible to use 77GHz millimeter wave radar as vehicle collision warning device. © 2024 IEEE.

关键词： Fast Fourier transforms

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Data-driven Soil Moisture Sensing with mmWave radar 24

Data-driven Soil Moisture Sensing with mmWave Radar

引用

11th ACM International conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, BuildSys 2024

作者： Zhuang, Yujie Zhao, Yang Liu, Jie Harbin Institute of Technology Guangdong Shenzhen China

ISBN: (纸本)9798400707063

Existing soil moisture sensing methods require either plugging probes into soil or burying sensor nodes or aluminum plate in soil. These methods either have mobility and maintenance limitations or have risks of battery leakage. To address these issues, we propose to build a soil moisture sensing dataset using millimeter-wave radar for non-invasive and non-contact moisture sensing of shallow soil. Our millimeter-wave radar soil moisture dataset includes 20 different moisture levels, filling the gap in mmWave radar-based soil moisture sensing datasets. Furthermore, we propose a mm-SoilNet model, which uses the data-driven approach to extract soil moisture features from radar data to estimate the volumetric water content of soil. Our initial experimental results show that the system achieves a mean absolute error of 5.506%. © 2024 Copyright held by the owner/author(s).

关键词： Soil moisture

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Non-contact sensor-based human fall detection method 3

Non-contact sensor-based human fall detection method

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3rd International conference on Biomedical and Intelligent Systems, IC-BIS 2024

作者： Ruan, Tingting Yan, Tianxing Song, Yongkun Zhang, Ke Liu, Xian Changsha Health Vlocational College ChangSha41000 China Changsha University of Science & Technology Changsha410000 China

ISBN: (纸本)9781510681279

With the exacerbation of global population aging, the issue of falls among the elderly is increasingly drawing attention from various sectors of society. Consequently, the development of an effective human fall detection system is crucial for timely identification of fall incidents and provision of emergency assistance. This paper proposes a fall detection method based on non-contact sensors, aiming to achieve real-time monitoring and accurate identification of fall events through advanced sensor technology and data processing algorithms. Initially, this study employs low-frequency ultra-wideband radar (UWB) as the primary tool for data acquisition, followed by the utilization of deep learning techniques to extract key dynamic features from radar data, thus providing a reliable foundation for fall event identification. Furthermore, this paper designs and implements a fall recognition model based on Convolutional Neural Networks (CNN), which, through training on a large amount of radar image data, learns to distinguish patterns between normal activities and falling behavior. The results demonstrate that the proposed method can effectively detect falls under various common daily activities, with a recognition rate as high as 99.338%. © 2024 SPIE.

关键词： Data acquisition

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Extraction of Ground Clutter Return Interference from Downward-Looking UWB radar Signal via Low-rank and Sparse Optimization 27

Extraction of Ground Clutter Return Interference from Downwa...

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conference on radar sensor technology XXVII

作者： Nguyen, Lam H. Ranney, Kenneth Kelly, Colin Gallagher, Kyle Le, Calvin Sherbondy, Kelly US DEVCOM Army Res Lab Adelphi MD 20783 USA

ISBN: (纸本)9781510661844;9781510661851

Ultra-wideband (UWB) ground-penetrating radar (GPR) technology has been widely employed for detecting underground targets, structures, or anomalies. However, the backscatter signals from the ground surface pose a critical challenge for downward-looking GPR systems since 1) these ground return signals have significant power compared to the backscatter signal from subsurface targets, and 2) the ground return and target signals completely overlap in both the time and frequency domains. This paper presents a technique for reconstructing and extracting the GRI signals from downward-looking UWB GPR signals. This simultaneous low-rank and sparse algorithm models the GRI signals as a low-rank matrix, while the return signals from the targets are represented by sparse signals. The solver simultaneously optimizes both objectives, resulting in the separation of the target signals from the GRI signals. Our technique performs this GRI extraction directly in the phase history data domain prior to synthetic aperture radar (SAR) image formation. Thus, it can be implemented as an additional step, completely independent from all other steps, in the pre-processing stage. Recovery results from both simulated and real data sets illustrate the robustness and effectiveness of our proposed technique.

关键词： UWB radar SAR GPR interference ground return sparsity sparse recovery noise-source separation

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