IEEE Sensors Journal最新文献_第10页

Harmonic Analysis With Adaptive Water and Land Separation for High Performance Hyperspectral Image Quality Enhancement 基于自适应水陆分离的谐波分析用于高性能高光谱图像质量增强

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2025-08-08 DOI: 10.1109/JSEN.2025.3594668

Guoping Wang;Yan Dong;Gang Wan;Xinyu Zhao;Benkui Zhang;Keming Yang;Zhijuan Su

{"title":"Harmonic Analysis With Adaptive Water and Land Separation for High Performance Hyperspectral Image Quality Enhancement","authors":"Guoping Wang;Yan Dong;Gang Wan;Xinyu Zhao;Benkui Zhang;Keming Yang;Zhijuan Su","doi":"10.1109/JSEN.2025.3594668","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3594668","url":null,"abstract":"The stripe noise exists in the images acquired by the imaging spectrometer in orbit, which seriously restricts the subsequent high-precision quantitative application of hyperspectral images (HSIs). This article proposes the stripe removal method for HSIs, which can be applied to various scenes. It can remove the stripe noise of the images with large water area coverage, different stripe widths, and different stripe brightness to the greatest extent, without affecting the details of the image. The method uses the maximum between-class variance method adaptive threshold to extract the boundary of water and land areas in the image, and uses harmonic analysis to eliminate the cumulative stripe noise of image mean and variance in the frequency domain to obtain the theoretical true value of the image. Extensive experiments are carried out on GF5, ZY-1-02D, and Huanjing-2A (HJ-2A) satellite HSIs to compare the visualization effects of eight different algorithms for stripe removal, and the performance of the eight different algorithms is quantitatively evaluated by information entropy (IE) and noise estimation. The results show that the proposed algorithm has the most superior overall performance in terms of quantitative evaluation, processing efficiency, adaptability, and robustness, and is the best solution for engineering applications.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 18","pages":"34992-35019"},"PeriodicalIF":4.3,"publicationDate":"2025-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145090157","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Radar Matched-Filter Properties of Phase-Switched Screen at Arbitrary Phase Modulation Angle 任意调相角下开关屏的雷达匹配滤波特性

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2025-08-07 DOI: 10.1109/JSEN.2025.3594608

Tianyue Xie;Junjie Wang;Dejun Feng

{"title":"Radar Matched-Filter Properties of Phase-Switched Screen at Arbitrary Phase Modulation Angle","authors":"Tianyue Xie;Junjie Wang;Dejun Feng","doi":"10.1109/JSEN.2025.3594608","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3594608","url":null,"abstract":"Phase-switched screens (PSSs) achieve low detectability for protected targets by intermittently modulating the phase of incident radar waves, altering their scattering characteristics. Current research on PSS predominantly focuses on the ideal 180° phase modulation, which effectively suppresses the central frequency component of the radar signal. However, achieving this theoretical modulation angle at nonresonant frequencies is challenging for practical materials, limiting the broader application of PSS. This article investigates the modulation mechanism of PSS at arbitrary phase angles. A comprehensive phase modulation model is developed to analyze the impact of various parameters on the matched filtering process of radar signals. The theoretical derivation reveals that the modulation angle serves as a critical energy parameter, primarily influencing the amplitude coefficient of false peaks generated after matched filtering. The study has established the mapping relationships between characteristic parameters (modulation angle, modulation frequency, and duty cycle) and the radar matched-filter output as well as radar sensor performance metrics. To validate these findings, a simulation study is conducted across the time domain, frequency domain, and matched filter output, demonstrating the feasibility and effectiveness of arbitrary-angle phase modulation in PSS design.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 18","pages":"34755-34762"},"PeriodicalIF":4.3,"publicationDate":"2025-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145090109","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Analytical and FEM Modeling of a Magnetoelastic Pressductor-Type Sensor 磁弹性压力式传感器的分析与有限元建模

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2025-08-07 DOI: 10.1109/JSEN.2025.3595060

Šimon Gans;Ján Molnár;Dobroslav Kováč;Milan Guzan;Matej Bereš;Branislav Fecko;Tibor Vince

{"title":"Analytical and FEM Modeling of a Magnetoelastic Pressductor-Type Sensor","authors":"Šimon Gans;Ján Molnár;Dobroslav Kováč;Milan Guzan;Matej Bereš;Branislav Fecko;Tibor Vince","doi":"10.1109/JSEN.2025.3595060","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3595060","url":null,"abstract":"This article deals with the modeling of the effect that winding placement has on magnetoelastic Pressductor-type sensors. A review of the current research state of such sensors was done in the introduction. Usually, the perpendicular x-shape of coils is used. From simulations, it was observed that a higher sensitivity of root mean square (RMS) voltage change due to force can be obtained by changing the winding position. A simplified analytical model was derived that holds while the magnetizing current characteristics ensure linearity of the material behavior. The mechanical, electrical, and mechanical material characteristics were measured and incorporated into a finite element method (FEM) model and then compared to the mathematical model and to experimental results. Multiple sensor samples were created, and their sensitivity to external tensile loading was measured using special test equipment. A good fit between FEM and experiment was observed. The reasons for the discrepancies between the analytic model and the experiments have been presented in the conclusion.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 18","pages":"35407-35417"},"PeriodicalIF":4.3,"publicationDate":"2025-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11119757","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145073324","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Efficient Recursive Convolutional Target Detector for FMCW Radar With Implementation on a Programmable Deep Learning Processor Unit 基于可编程深度学习处理器单元的FMCW雷达高效递归卷积目标检测器

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2025-08-07 DOI: 10.1109/JSEN.2025.3594801

Bhaskar Banerjee;Zaheer Khan;Janne J. Lehtomäki

{"title":"Efficient Recursive Convolutional Target Detector for FMCW Radar With Implementation on a Programmable Deep Learning Processor Unit","authors":"Bhaskar Banerjee;Zaheer Khan;Janne J. Lehtomäki","doi":"10.1109/JSEN.2025.3594801","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3594801","url":null,"abstract":"The advanced driver assistance systems (ADASs) and autonomous driving (AD) systems are becoming increasingly vital in modern vehicles. These systems rely on precise target detection to enhance safety and performance. The frequency-modulated continuous-wave (FMCW) radar sensors are central to ADAS/AD, offering high-resolution range and velocity measurements. However, traditional detection algorithms like constant false alarm rate (CFAR) methods face limitations in complex, cluttered environments, especially under high interference conditions from other automotive radars. To overcome these challenges, we propose a novel recursive convolutional target detector (RCTD) algorithm that elevates detection performance while adhering to the stringent real-time and hardware constraints of ADAS/AD platforms. The RCTD algorithm utilizes a lightweight convolutional neural network (CNN) that recursively processes segmented range-Doppler (RD) maps to efficiently localize targets. This hierarchical approach reduces computational complexity and minimizes false alarm rates by concentrating computational efforts on regions of interest. We validate the RCTD algorithm through extensive simulations using realistic FMCW radar models and demonstrate its robustness across various scenarios. Furthermore, we implement the RCTD on field-programmable gate array (FPGA) hardware equipped with a deep learning processing unit (DPU), illustrating its capability to meet the latency and resource requirements of embedded ADAS/AD systems. Our results indicate that the RCTD algorithm outperforms traditional CFAR methods, achieving higher detection accuracy and lower false alarm rates, thus advancing the state of the art in FMCW radar target detection for ADAS/AD applications.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 18","pages":"35039-35052"},"PeriodicalIF":4.3,"publicationDate":"2025-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11119761","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145078572","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Microstructured Fiber-Optic Sagnac Interferometer Fabricated by Femtosecond Laser Micromachining for Optofluidic Sensing 飞秒激光微加工光流传感微结构光纤Sagnac干涉仪

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2025-08-07 DOI: 10.1109/JSEN.2025.3594829

Xu-Guang Hu;Zhan-Kun Li;Ju-Wei Zhang;Xiao-Na Song;Xi-Xin Wang;Xiao-Ming Chen;Yong Zhao

{"title":"Microstructured Fiber-Optic Sagnac Interferometer Fabricated by Femtosecond Laser Micromachining for Optofluidic Sensing","authors":"Xu-Guang Hu;Zhan-Kun Li;Ju-Wei Zhang;Xiao-Na Song;Xi-Xin Wang;Xiao-Ming Chen;Yong Zhao","doi":"10.1109/JSEN.2025.3594829","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3594829","url":null,"abstract":"A novel fiber-optic Sagnac interferometer (FSI) based on a four-leaf clover microstructured optical fiber (MOF) is proposed for optofluidic sensing. The FSI is formed by sandwiching a section of MOF with a side microchannel between two single-mode optical fibers. By using femtosecond laser micromachining technology, micropores for fluid inlet and outlet are precisely etched above the air hole on the one side of the long axis of the MOF fiber core for the transmission of fluid inside the optical fiber. The fluid changes the birefringence characteristics of the MOF, producing a Sagnac effect. Then, the birefringence characteristics, spectral characteristics, and sensitivity characteristics of the designed optofluidic FSI are studied theoretically and experimentally. The experimental results indicate that for analytes with a refractive index (RI) near 1.33, the optofluidic FSI has a sensitivity of 1085 nm/RIU with a linearity of 0.999, which is basically consistent with that obtained by theoretical simulation. The optofluidic sensor has excellent optofluidic sensing performance and good repeatability. In addition, the optofluidic sensor fabricated using femtosecond laser processing technology demonstrated excellent reproducibility and good robustness. The proposed all-in-fiber optofluidic sensor, which combines microfluidics with fiber-optic sensing technology, has great development potential in the field of ultralow-volume, label-free biochemical molecule detection.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 18","pages":"34618-34624"},"PeriodicalIF":4.3,"publicationDate":"2025-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145090001","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A 0.55-THz Self-Injection-Locked Resonant Tunneling Diode Radar for Micrometer Ranging 一种0.55 thz自注入锁定谐振隧道二极管微米测距雷达

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2025-08-07 DOI: 10.1109/JSEN.2025.3594754

Jonas Watermann;Fabian van Essen;Enes Mutlu;Christian Preuss;Konrad Müller;Nils G. Weimann

{"title":"A 0.55-THz Self-Injection-Locked Resonant Tunneling Diode Radar for Micrometer Ranging","authors":"Jonas Watermann;Fabian van Essen;Enes Mutlu;Christian Preuss;Konrad Müller;Nils G. Weimann","doi":"10.1109/JSEN.2025.3594754","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3594754","url":null,"abstract":"This work presents self injection-locked (SIL) continuous-wave (cw) radar sensors based on resonant tunneling diode (RTD) oscillators. The free-running RTD oscillators show micrometer resolution in sampling the movement of a reflective target. The SIL device utilized a sawtooth-like frequency modulation with <inline-formula> <tex-math>$lambda /{2}$ </tex-math></inline-formula> periodicity induced by time-delayed feedback, which is used for unambiguous ranging. The maximum frequency shift achieved herein is 5.5 GHz, whereby a frequency shift of about 1 GHz is used in operation. The achieved sensitivity of the SIL radar during operation is 9.2 MHz <inline-formula> <tex-math>$mu $ </tex-math></inline-formula>m<inline-formula> <tex-math>${}^{-{1}}$ </tex-math></inline-formula>. We also propose a method for determining the absolute distance to the target based on the SIL frequency modulation mechanism as a proof of concept. Using a simplified circuit model for the RTD SIL radar, we convert the corresponding delay-differential equation to an approximate dynamic amplitude-phase system, to give an envelope description for the SIL radar of reduced stiffness compared to transient simulations.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 18","pages":"34566-34574"},"PeriodicalIF":4.3,"publicationDate":"2025-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11119785","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145090000","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

DistanceNet: A Deep Learning Study on Point-to-Point Distance Measurement From Single Images DistanceNet：单图像点对点距离测量的深度学习研究

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2025-08-07 DOI: 10.1109/JSEN.2025.3593824

Xiaolong Chen;Yenan Gao

{"title":"DistanceNet: A Deep Learning Study on Point-to-Point Distance Measurement From Single Images","authors":"Xiaolong Chen;Yenan Gao","doi":"10.1109/JSEN.2025.3593824","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3593824","url":null,"abstract":"In computer vision image processing, traditional methods that measure distances on planes perpendicular to the camera axis cannot obtain accurate distances between two points from a single image. Therefore, accurately measuring the distance between any two points from a single image, without precise depth information, becomes a challenge for many researchers. This article pioneers the application of deep learning regression for distance measurement by leveraging depth estimation techniques. Firstly, a method for collecting distance datasets based on chessboard corner detection is proposed to provide the training data for DistanceNet. Secondly, the trained DistanceNet using deep learning regression can directly obtain distances between two points from single images, filling the gap in image-based distance measurement applications. Finally, comparative experiments show that the proposed DistanceNet outperforms traditional analytical methods and basic multilayer perceptron (MLP) networks in terms of distance measurement accuracy. On four test datasets (564, 473, 372, and 129), mean absolute error (MAE) values achieved by DistanceNet are 23.07, 28.21, 13.93, and 13.64, respectively.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 18","pages":"34448-34458"},"PeriodicalIF":4.3,"publicationDate":"2025-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145073245","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Gelatin-Coated Long-Period Fiber Grating Humidity Sensor Based on a Microtaper Structure 基于微锥结构的明胶涂层长周期光纤光栅湿度传感器

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2025-08-07 DOI: 10.1109/JSEN.2025.3594874

Xuelan He;Peng Guo;Ming Li;Jian Xing;Wenchao Li;Shuanglong Cui

引用次数: 0

Toward an AIoT-Based Body Sensor Network for Learning Tai-Chi Chun 基于aiot的太极拳学习身体传感器网络研究

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2025-08-07 DOI: 10.1109/JSEN.2025.3594700

Kun-Chan Lan;Ren-Yun Li;Chien Li;Wen-Yen Chang;Yi-An Wang

{"title":"Toward an AIoT-Based Body Sensor Network for Learning Tai-Chi Chun","authors":"Kun-Chan Lan;Ren-Yun Li;Chien Li;Wen-Yen Chang;Yi-An Wang","doi":"10.1109/JSEN.2025.3594700","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3594700","url":null,"abstract":"Tai Chi, an ancient Chinese martial art, is known for its benefits in promoting physical and mental well-being, such as slowing aging, preventing diseases, and alleviating stress. However, learning Tai Chi can be challenging, especially for beginners without an instructor’s guidance. Mastery requires understanding complex principles like body coordination, weight shifting, and force exertion, which are essential for proper technique. Traditional training relies heavily on experienced instructors, making it difficult for individuals to practice independently and progress effectively. This study addresses the challenge faced by beginners who struggle to improve without continuous feedback, particularly in the absence of an instructor. Here, we propose an artificial intelligence (AI)-based system to guide and correct students’ movements using wearable sensors, including inertial measurement units (IMUs) and smart insoles, along with smartphone cameras. The system collects motion data from both instructors and students, compares their movements, and provides immediate feedback on discrepancies. Unlike other Tai-Chi training systems that focus mainly on posture correction, our system emphasizes force exertion—a key component of Tai Chi. By analyzing movements and weight distribution, the system helps students identify errors in technique, improving their force generation and body coordination. This feedback mechanism enables independent practice, making Tai-Chi training more accessible and efficient.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 18","pages":"34763-34777"},"PeriodicalIF":4.3,"publicationDate":"2025-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145089950","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Terahertz Split Ring Resonator Nanosensor for Cardiac Biomarker Detection 用于心脏生物标志物检测的太赫兹分裂环谐振器纳米传感器

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2025-08-06 DOI: 10.1109/JSEN.2025.3594620

Bhagwati Sharan;Hadeel Elayan;Anirban Ghosh;Raja Datta;Josep M. Jornet;Raja Manjula

{"title":"A Terahertz Split Ring Resonator Nanosensor for Cardiac Biomarker Detection","authors":"Bhagwati Sharan;Hadeel Elayan;Anirban Ghosh;Raja Datta;Josep M. Jornet;Raja Manjula","doi":"10.1109/JSEN.2025.3594620","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3594620","url":null,"abstract":"This article presents a terahertz (THz) metamaterial-based nanosensor employing a split ring resonator (SRR) for the detection of N-terminal pro–B-type natriuretic peptide (NT-proBNP), a cardiac biomarker released in response to increased myocardial pressure and volume overload in the heart. The sensor is designed and simulated in CST Studio to enable real-time detection via changes in the refractive index of NT-proBNP associated with cardiac abnormalities. Validation is performed through equivalent circuit modeling (ECM) using the Advanced Design System (ADS). The nanosensor achieves a sensitivity of 1460 GHz/RIU, a Q-factor of 22.06, and a figure of merit (FOM) of 41.71. Assuming minimally invasive placement in the pericardium, signal attenuation is modeled using a path-loss framework that accounts for the serous and fibrous pericardial layers. Transmission line theory is applied to evaluate the intrinsic impedance, reflection coefficients, and attenuation characteristics of THz waves propagating through cardiac tissue. The model estimates the received power at a nanocontroller located at the fibrous layer and is validated using COMSOL Multiphysics. By leveraging refractive index variations induced by NT-proBNP, this nanosensor enables intrabody THz communication as a diagnostic modality. The platform is particularly suited for detecting conditions such as pericarditis, where biomarker fluctuations and pericardial thickening jointly modulate the THz signal.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 18","pages":"35394-35406"},"PeriodicalIF":4.3,"publicationDate":"2025-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145073183","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0