IEEE Sensors Journal最新文献_第7页

Exploring the Hemodynamic Changes in Deeper Dermal Vasculature During Cold-Induced Vasoconstriction and Vasodilation Using a Laser Speckle-Based Optical Flowmetry Method

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2025-02-24 DOI: 10.1109/JSEN.2025.3542539

Tristan Wen Jie Choo;Ghayathri Balasundaram;Yi Qi;Ruochong Zhang;Songhua Zheng;Renzhe Bi;Malini Olivo

{"title":"Exploring the Hemodynamic Changes in Deeper Dermal Vasculature During Cold-Induced Vasoconstriction and Vasodilation Using a Laser Speckle-Based Optical Flowmetry Method","authors":"Tristan Wen Jie Choo;Ghayathri Balasundaram;Yi Qi;Ruochong Zhang;Songhua Zheng;Renzhe Bi;Malini Olivo","doi":"10.1109/JSEN.2025.3542539","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3542539","url":null,"abstract":"While the Lewis hunting reaction has been studied for decades, little remains known about the hemodynamic changes which occur in the deeper dermal arteries and arterioles during its alternating phases of cold-induced vasoconstriction (CIVC) and cold-induced vasodilation (CIVD). Here, we present an integrated sensor that simultaneously measures blood flow speed and fingertip temperature to study this relatively unknown physiology. Using diffuse speckle pulsatile flowmetry (DSPF), a laser speckle-based optical flowmetry method which measures blood flow speed from relatively deeper vasculature (up to around 15 mm depth), we show that the sensor was able to detect the changes in five morphological features within arterial blood flow speed waveforms—average blood flow speed, amplitude, time to peak, 50% pulse width, and area under the curve. In a pilot study with 14 subjects, a decrease in the value of all five features was observed during CIVC (significant for three features), whereas a subsequent significant increase in all five features was observed during CIVD. This study provides further insight into the Lewis hunting reaction and demonstrates the feasibility of our sensor in monitoring the physiological response to cold environments. It will potentially contribute to the diagnosis and prevention of cold-related pathologies such as hypothermia and Raynaud’s syndrome.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 7","pages":"11935-11943"},"PeriodicalIF":4.3,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143748799","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 Novel Multipurpose Fuel Sensor for Efficient Estimation of Fuel-Level, Dual-Axis Inclination, and Two-Component Fuel Composition

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2025-02-24 DOI: 10.1109/JSEN.2025.3542559

Narayanan P. P.;Sreenath Vijayakumar

{"title":"A Novel Multipurpose Fuel Sensor for Efficient Estimation of Fuel-Level, Dual-Axis Inclination, and Two-Component Fuel Composition","authors":"Narayanan P. P.;Sreenath Vijayakumar","doi":"10.1109/JSEN.2025.3542559","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3542559","url":null,"abstract":"Modern automotive technologies necessitate monitoring of a wide variety of physical parameters, such as fuel level, dual-axis vehicle inclination, and fuel composition. Traditionally, this is achieved through the incorporation of numerous sensors, resulting in increased complexity, expense, and bulkiness. This article proposes a novel solution by designing a single capacitive-based sensor system capable of simultaneously monitoring fuel level, dual-axis vehicle inclination, and fuel mixture composition. In contrast to current fuel sensing architectures, the proposed sensor eliminates the need for movable parts and is immune to fuel type. This makes it compatible with any gasoline-powered combustion engine automobiles. The proposed sensor incorporates a dual-axis inclination measurement, which is essential for accurate level measurement, and ensuring vehicle safety. In addition, due to the current availability of a wide variety of fuel mixtures in the market, knowledge of fuel composition is critical in any vehicle for optimizing engine performance. Implementation of all these features through a single sensor eliminates the requirement for supplementary components, resulting in a reduction in both hardware implementation expenses and system complexity. This is the first of its kind such a single sensing scheme is reported. The prototype sensor demonstrates high linearity of 0.43% and 0.88% for level and inclination measurements, respectively. The sensor prototype was also tested with ethanol-petrol fuel mixtures and exhibits a worst case linearity error of 2.43% for concentrations ranging from E0-petrol to E100-petrol. The developed sensor promises a feasible and economically efficient solution for integration into contemporary automobiles.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 7","pages":"12109-12118"},"PeriodicalIF":4.3,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143748877","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 Compact Differential Microwave Fluid Sensor for Permittivity Measurement of Ethanol–Water Solution

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2025-02-24 DOI: 10.1109/JSEN.2025.3542217

Aref Rasoulzadeh;Changiz Ghobadi;Javad Nourinia

{"title":"A Compact Differential Microwave Fluid Sensor for Permittivity Measurement of Ethanol–Water Solution","authors":"Aref Rasoulzadeh;Changiz Ghobadi;Javad Nourinia","doi":"10.1109/JSEN.2025.3542217","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3542217","url":null,"abstract":"In this article, a novel approach is proposed to address sensors’ significant challenges by introducing a portable planar microstrip sensor based on a dual-bandpass filter (BPF). This sensor is designed specifically for permittivity measurement of water-ethanol solution and offers high sensitivity, low cost, and reusability while minimizing the environmental unwanted effects. The proposed sensor consists of a microstrip line structure with two crescent arms as host, and an innovative sensing area is coupled to it. The sensing mechanism relies on the manipulation of the transmission resonance frequency. Notably, this configuration exhibits two transmission poles (TPs) in the transmission coefficients at specific frequencies, namely, 1.6 and 4.48 GHz. The second TP is particularly sensitive to changes in ethanol concentration (EC) and ambient variations too. On the other hand, the first TP remains unaffected by variations in the sample under test (SUT). To validate the effectiveness of the proposed sensor, a prototype was fabricated on RO4003C dielectric substrate, and subjected to rigorous testing using various ECs in deionized water. The prototype sensor boasts high sensitivity and compact size of <inline-formula> <tex-math>$8times 7.2times 0.508$ </tex-math></inline-formula> mm, which is advantageous for practical applications where space constraints are a concern.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 7","pages":"11024-11032"},"PeriodicalIF":4.3,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143748894","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 Low-Cost and High-Stability Demodulation Method for Photothermal Spectroscopy Gas Detection in Power Transformer

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2025-02-21 DOI: 10.1109/JSEN.2025.3542318

Houxian Du;Xunbo Gao;Daiyuan Yang;Ruize Tong;Yukun Wang;Guoming Ma

{"title":"A Low-Cost and High-Stability Demodulation Method for Photothermal Spectroscopy Gas Detection in Power Transformer","authors":"Houxian Du;Xunbo Gao;Daiyuan Yang;Ruize Tong;Yukun Wang;Guoming Ma","doi":"10.1109/JSEN.2025.3542318","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3542318","url":null,"abstract":"Dissolved gas analysis is a critical component of transformer defect diagnosis. Oil-dissolved gas sensing based on fiber-optic photothermal spectroscopy was proposed for it is immune to electromagnetic interference. Traditional methods apply sinusoidal modulation to the pump light wavelength. However, sinusoidal phase noise is also generated in the absence of gas due to the laser absorption by fiber splice points, flanges, and other components. This noise makes it difficult to further lower the detection limit. In this article, a pump light frequency modulation method combining a sine wave with a sawtooth wave was introduced. The gas concentration was determined by detecting the amplitude of the second harmonic wave, which addressed the aforementioned issues. However, these systems are highly sensitive to temperature, vibrations, and other factors, leading to poor stability. In addition, the industry application is limited by the high cost of the demodulation system. Thus, this article proposed an acetylene sensing topology based on heterodyne interference and Mach-Zehnder interferometric structure. The sensing phase signal was modulated by a 100-MHz modulation, achieved by introducing an acousto-optic modulator (AOM) into the reference arm, which reduced low-frequency noise interference. Then, a low-cost demodulation method was also proposed based on mixing and down conversion. This method lowered the carrier frequency from 100 MHz to 100 kHz, reducing demodulation costs by about 91%. The proposed photothermal spectroscopy gas detection system achieved a detection limit of 0.256 ppm for acetylene.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 7","pages":"11092-11101"},"PeriodicalIF":4.3,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143748751","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 Scalable Textile Strain Sensor Matrix: Design, Implementation, and Application Exploration

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2025-02-21 DOI: 10.1109/JSEN.2025.3542226

Chenhui Zhang;Zhen Liang;Fangting Xie;Xiaohui Cai

{"title":"A Scalable Textile Strain Sensor Matrix: Design, Implementation, and Application Exploration","authors":"Chenhui Zhang;Zhen Liang;Fangting Xie;Xiaohui Cai","doi":"10.1109/JSEN.2025.3542226","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3542226","url":null,"abstract":"The measurement of biomechanical loads is important for various applications, such as healthcare, sports, and human–computer interaction (HCI). To obtain a detailed view of the biomechanical loads, it is necessary to monitor the strain distribution on the body surface which is perpendicular to the pressure. The current strain sensing methods lack scalability and comfort for body-scaled usage. We design a fully textile strain sensor matrix that can be realized based solely on off-the-shelf materials and textile industry machines. The novel matrix design reduces the wiring scale to the square root of the sensor unit scale, enabling a practical, portable, and wearable deployment of strain distribution sensing. We created a matrix with 256 sensing points and explored its applications in both environmental and wearable scenarios. The results prove the necessity of measuring strain distribution that the 3-D biomechanical loads shall be obtained in detail. The data from the on-body applications also show good performance in human posture classification, motion monitoring, and environmental condition recognition.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 7","pages":"11924-11934"},"PeriodicalIF":4.3,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143748791","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

IoT-Based System Using IMU Sensor Fusion for Knee Telerehabilitation Monitoring

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2025-02-21 DOI: 10.1109/JSEN.2025.3542261

Mohamed El Fezazi;Abdelouahad Achmamad;Atman Jbari;Abdelilah Jilbab

{"title":"IoT-Based System Using IMU Sensor Fusion for Knee Telerehabilitation Monitoring","authors":"Mohamed El Fezazi;Abdelouahad Achmamad;Atman Jbari;Abdelilah Jilbab","doi":"10.1109/JSEN.2025.3542261","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3542261","url":null,"abstract":"High costs and clinical limitations restrict access to rehabilitation services, especially in low- and middle-income countries. There is a growing need for affordable, home-based solutions that enable continuous remote monitoring of patient rehabilitation progress. This work proposes an Internet of Thing (IoT)-based system for knee movement monitoring during telerehabilitation. The system comprises wearable inertial measurement units (IMUs) integrated into an IoT architecture. This architecture leverages edge and cloud computing to facilitate remote monitoring and real-time feedback. A sensor fusion algorithm was implemented on the edge to estimate knee joint angle, and a cloud-based application was developed to extract kinematic parameters and assess rehabilitation outcomes. The system was implemented using system-on-chip (SoC) technology, allowing embedded signal processing and wireless communication in a compact and low-power design. Three experimental validation tests were conducted: One hardware test evaluating the performance of the proposed sensor fusion algorithm; goniometer-based static test assessing the impact of environmental interference on system accuracy; dynamic test involving rehabilitation exercises to validate system performance against a gold-standard video-based system in the home context. The results demonstrated that the proposed algorithm achieved an optimal trade-off between accuracy, computational efficiency, and resilience to magnetic distortions. The system showed acceptable accuracy, with an average root mean square error (RMSE) ranging from 3.08° to 6.43° across all exercises. These results are consistent with the current state of the art, highlighting the system’s potential for objective and remote monitoring of knee movement in home-based rehabilitation.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 7","pages":"11906-11914"},"PeriodicalIF":4.3,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143748815","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

Flexible Strain Sensors With Multifusion Algorithm Models for Handwriting Recognition

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2025-02-21 DOI: 10.1109/JSEN.2025.3540598

Xue Zhou;Weijia Wang;Yaping Hui;Xuegang Li;Xin Yan;Tonglei Cheng

{"title":"Flexible Strain Sensors With Multifusion Algorithm Models for Handwriting Recognition","authors":"Xue Zhou;Weijia Wang;Yaping Hui;Xuegang Li;Xin Yan;Tonglei Cheng","doi":"10.1109/JSEN.2025.3540598","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3540598","url":null,"abstract":"High sensitive flexible strain sensors were developed using styrene-ethylene–butylene-styrene (SEBS) G1657 and superconducting carbon black materials, which were placed on three fingers to capture handwriting through resistance changes. The designed sensor can withstand up to 600% strain, and the gauge factor (GF) can reach 19235.7, indicating extremely high responsiveness. For improved handwriting style recognition, a lightweight, modified Swin Transformer model was specifically designed for efficient classification. Experimental results demonstrated high classification accuracies of 99.73%, 99.18%, and 99.34% for digits, English letters, and Chinese characters, respectively, underscoring the model’s robustness and accuracy. These results represent a significant advancement in practical handwriting recognition, providing rapid and precise identification capabilities. Future efforts will focus on optimizing real-time detection algorithms, expanding recognition applications, and further enhancing the integration of conductive materials with machine learning techniques to achieve even greater accuracy and efficiency.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 7","pages":"12372-12380"},"PeriodicalIF":4.3,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143748743","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

WiFi-Based Multiuser Identity, Location, and Activity Recognition Using InceptionTime-Attention Networks

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2025-02-21 DOI: 10.1109/JSEN.2025.3540882

Jindi Wang;Mohammed A. A. Al-Qaness;Sike Ni;Changbing Tang

{"title":"WiFi-Based Multiuser Identity, Location, and Activity Recognition Using InceptionTime-Attention Networks","authors":"Jindi Wang;Mohammed A. A. Al-Qaness;Sike Ni;Changbing Tang","doi":"10.1109/JSEN.2025.3540882","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3540882","url":null,"abstract":"Recently, human activity recognition based on WiFi channel state information (CSI) has gained wide attention in fields such as smart homes and e-healthcare. By leveraging the ubiquitous presence of WiFi signals, this technology can identify human activities without the need for additional sensors or cameras, thereby reducing privacy concerns and deployment costs. However, existing studies primarily focus on single-user activity recognition, which is inadequate for real-world scenarios. To address this, this article proposes a novel WiFi CSI model suitable for multiuser activity recognition, identification, and location tracking. We employ preprocessing techniques such as wavelet denoising and sliding window processing to enhance performance on raw data. The newly proposed InceptionTime-Attention deep learning model combines inception modules with attention mechanisms to effectively capture short-term and long-term patterns in WiFi signals. Experiments conducted on the new public dataset WiMANS demonstrate the model’s effectiveness and generalization capability across different scenarios.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 7","pages":"12389-12398"},"PeriodicalIF":4.3,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143748931","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

CPFormer: End-to-End Multi-Person Human Pose Estimation From Raw Radar Cubes With Transformers

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2025-02-21 DOI: 10.1109/JSEN.2025.3542078

Lin Chen;Guoli Wang

{"title":"CPFormer: End-to-End Multi-Person Human Pose Estimation From Raw Radar Cubes With Transformers","authors":"Lin Chen;Guoli Wang","doi":"10.1109/JSEN.2025.3542078","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3542078","url":null,"abstract":"It is challenging to reconstruct human pose in multi-person scenes using a single commercial millimeter-wave (mmWave) radar due to its limited resolution and susceptibility to noise. On the other hand, the signal processing process may cause the loss of detailed features of the raw radar signals or introduce errors, making it difficult to perform detailed analysis of radar signals in multi-person scenes. To address these issues, a cube pose transformer (CPFormer) is proposed, an end-to-end method for multi-person pose estimation from raw radar cubes. Specifically, the CPFormer consists of a learnable 3-D-discrete Fourier transform (DFT) module and Transformer-based networks. The learnable 3-D-DFT module extracts features from raw radar cubes and adaptively learns the time-to-frequency domain transformation for each dimension, replacing the traditional DFT. The Transformer includes the dual-stream hierarchical encoder (DHE) and the multi-person pose decoder (MPD). First, the proposed spatiotemporal fusion tokenizer (SFT) captures the spatiotemporal cues of adjacent frames and represents the radar cubes as token embeddings. Then, the DHE uses window attention and global cross-view attention (GCVA) to learn the local, global, and cross-view dependencies from the radar cubes of the horizontal and vertical views, to extract fine-grained sensing cues. The MPD directly predicts multi-person poses based on features extracted by the encoder, without separating signals of different targets in the low-resolution radar data. Evaluated on a multi-person human pose dataset collected with a TI AWR1843 Boost mmWave radar in two different environments, the CPFormer achieves the lowest pose estimation error.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 7","pages":"12466-12478"},"PeriodicalIF":4.3,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143748898","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

Cubature Kalman Filtering for Nonlinear Systems With Energy Harvesting Sensors Under Probabilistic Quantization Effects

IF 4.3 2区综合性期刊

IEEE Sensors Journal Pub Date : 2025-02-21 DOI: 10.1109/JSEN.2025.3538584

Jiaxing Li;Zidong Wang;Jun Hu;Raquel Caballero-Águila

{"title":"Cubature Kalman Filtering for Nonlinear Systems With Energy Harvesting Sensors Under Probabilistic Quantization Effects","authors":"Jiaxing Li;Zidong Wang;Jun Hu;Raquel Caballero-Águila","doi":"10.1109/JSEN.2025.3538584","DOIUrl":"https://doi.org/10.1109/JSEN.2025.3538584","url":null,"abstract":"In this article, the problem of cubature Kalman filtering (CKF) is investigated for a class of nonlinear systems, which are equipped with energy harvesting sensors and subject to probabilistic quantizations. Due to the constraints of network bandwidth, measurement signals are quantized by a probabilistic quantization mechanism before they are transmitted through the communication network. Energy is harvested from the surrounding environment by sensors equipped with energy harvesters. The objective of this article is to design a novel cubature Kalman filter by taking into full account the effects of probabilistic quantizations and energy harvesting sensors based on the three-order spherical-radial cubature rule. By solving matrix difference equations, the upper bound of the filtering error covariance (FEC) is recursively computed and then minimized by constructing a proper filter gain. Moreover, the boundedness of the upper bound regarding the FEC is also discussed, and the monotonicity of the minimum upper bound in relation to the quantization level is further analyzed. The effectiveness of the proposed CKF algorithm is demonstrated through a simulation experiment focused on a target tracking scenario.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 7","pages":"12143-12155"},"PeriodicalIF":4.3,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143748986","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