Jiani Zhou;Chen Chen;Yong Zhang;Jun Lin;Heng Piao;Feng Sun
{"title":"A Passive Detection Method of Gas Cloud Concentration Distributions for Leaking Alkane Gas","authors":"Jiani Zhou;Chen Chen;Yong Zhang;Jun Lin;Heng Piao;Feng Sun","doi":"10.1109/TIM.2026.3660409","DOIUrl":"https://doi.org/10.1109/TIM.2026.3660409","url":null,"abstract":"Methane is the primary component of natural gas. The accurate detection of methane leakage points and concentration is crucial to ensuring safety and environmental protection. However, traditional active gas concentration detection methods are susceptible to interference from dynamic backgrounds, which makes concentration detection challenging. This article presents a passive method for detecting gas cloud concentration distributions based on a self-developed passive infrared imaging system operating in the 3.2–<inline-formula> <tex-math>$3.4~mu $ </tex-math></inline-formula>m wavelength band. A methane detection model considering multiple influencing factors was established. During the model development, an adaptive factor was incorporated into the prediction and tracking framework of the Kalman filter to mitigate the effect of time-varying light sources on gas concentration detection performance. Experimental results demonstrate that the detection limit is 0.79%, and the relative error is less than 1.00%. The system enables real-time methane concentration detection and validates its potential for natural gas leakage detection through its industrial application in complex environments. The field test videos and the core code of the proposed method have been made publicly available at: <uri>https://github.com/1996Eric/AT-EKF</uri>","PeriodicalId":13341,"journal":{"name":"IEEE Transactions on Instrumentation and Measurement","volume":"75 ","pages":"1-12"},"PeriodicalIF":5.9,"publicationDate":"2026-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146169935","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"IEEE Instrumentation and Measurement Society","authors":"","doi":"10.1109/TIM.2026.3653168","DOIUrl":"https://doi.org/10.1109/TIM.2026.3653168","url":null,"abstract":"","PeriodicalId":13341,"journal":{"name":"IEEE Transactions on Instrumentation and Measurement","volume":"74 ","pages":"C3-C4"},"PeriodicalIF":5.9,"publicationDate":"2026-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11371489","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146175591","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mengyuan Wang;Haopeng Wang;Haiwei Dong;Abdulmotaleb El Saddik
{"title":"3D Wi-Fi Signal Measurement in Realistic Digital Twin Testbed Environments Using Ray Tracing","authors":"Mengyuan Wang;Haopeng Wang;Haiwei Dong;Abdulmotaleb El Saddik","doi":"10.1109/TIM.2026.3660422","DOIUrl":"https://doi.org/10.1109/TIM.2026.3660422","url":null,"abstract":"Accurate and efficient modeling of indoor wireless signal propagation is crucial for the deployment of next-generation Wi-Fi. This article presents a digital twin–based measurement system that integrates real-world 3D environment reconstruction with deterministic ray tracing (RT) for physically grounded electromagnetic modeling. Building geometry is obtained through LiDAR scanning, followed by object segmentation and assignment of ITU-R standard material parameters. The propagation process is simulated with a GPU-accelerated ray-tracing engine that generates path-level channel attributes, including delay, power, angular dispersion, and Ricean K-factor. Under identical runtime constraints, the proposed system is evaluated against a commercial measurement simulator, demonstrating up to 21 dB higher path gain and consistently improved signal-to-interference-plus-noise ratio in line-of-sight (LOS) conditions. Additionally, experiments against onsite RSSI measurements confirms a high spatial correlation of 0.98 after calibration, proving the system’s fidelity in real-world settings. Furthermore, coverage analysis across 2.4, 5, and 6 GHz bands demonstrates the capability of system to model frequency-dependent material attenuation for Wi-Fi 6E/7 networks. Finally, the system offers interactive 3D visualization and on-demand data extraction, highlighting its potential for digital twin–driven wireless system design and optimization.","PeriodicalId":13341,"journal":{"name":"IEEE Transactions on Instrumentation and Measurement","volume":"75 ","pages":"1-13"},"PeriodicalIF":5.9,"publicationDate":"2026-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146223565","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Multitask Learning-Based Broadband Multiharmonic Signal 2D-DOA Estimation Using Sparse Arrays","authors":"Chunyang Pang;Feng Wang;Yangze Dong","doi":"10.1109/TIM.2026.3659678","DOIUrl":"https://doi.org/10.1109/TIM.2026.3659678","url":null,"abstract":"Two-dimensional direction-of-arrival (2D-DOA) estimation plays a key role in array signal processing by providing accurate azimuth and elevation information. This full spatial awareness is critical for applications including 3-D acoustic imaging, target localization, and autonomous sensing. With the growing demand for device miniaturization, in resource-constrained miniature devices, physical space limitations restrict the array aperture and the number of elements, thereby reducing angular resolution. Enlarging the interelement spacing to improve resolution, however, may cause phase ambiguity in sparse arrays and consequently reduce estimation robustness. To address these challenges, this article proposes a 2D-DOA estimation method for small-scale sparse arrays through co-optimization of waveform design, array configuration, and signal processing algorithms. First, inspired by the biosonar mechanism of Hipposideros pratti, a wideband transmit waveform with a unique harmonic structure is designed, which demonstrates superior robustness in reverberant environments compared to conventional signals. Second, a sparse triangular array structure with interelement spacing exceeding the Rayleigh limit is constructed, significantly improving spatial resolution while meeting miniaturization requirements. Finally, an end-to-end network architecture based on multitask learning (MTL) is developed, where collaborative optimization of azimuth and elevation estimation branches effectively enhances estimation accuracy and efficiency. Based on these innovations, a triple-element sparse array DOA estimation system is implemented. Experimental results using measured data demonstrate that the proposed method achieves better estimation accuracy and robustness than existing wideband direction-finding approaches under the same array configuration.","PeriodicalId":13341,"journal":{"name":"IEEE Transactions on Instrumentation and Measurement","volume":"75 ","pages":"1-17"},"PeriodicalIF":5.9,"publicationDate":"2026-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146169930","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jiaxin Li;Shangwen Li;Weijia Shi;Xinqi Tian;Lianwei Sun;Bo Zhao;Jiubin Tan
{"title":"Identification of Weak Gas Leaks Using Dual-Segment Consistency Verification Based on Center Frequency Dispersion Index","authors":"Jiaxin Li;Shangwen Li;Weijia Shi;Xinqi Tian;Lianwei Sun;Bo Zhao;Jiubin Tan","doi":"10.1109/TIM.2026.3659638","DOIUrl":"https://doi.org/10.1109/TIM.2026.3659638","url":null,"abstract":"Real-time and accurate detection of in-orbit spacecraft leakage is crucial for ensuring operational safety but remains a significant challenge due to weak, irregular signals often obscured by intense background noise. Traditional methods, lacking prior frequency information, struggle to consistently identify these subtle leakage signatures. In this article, we introduce a novel frequency-domain stability analysis framework utilizing an refined synchrosqueezing transform (SST). The key contributions of this work are: 1) a refined SST-based spectral processing technique designed to achieve superior time–frequency resolution; and 2) the introduction of the central frequency dispersion index (CFDI) combined with dual-segment consistency verification enables automatic identification of candidate stable frequency bands. The proposed method is rigorously validated through experiments simulating leakage scenarios on 5A06 aluminum alloy plates (2.5 mm thick), featuring both a precise 0.2 mm microhole and irregular leakage geometries. Experimental results demonstrate the method’s outstanding performance, achieving over 90% identification accuracy for different kinds of leaks, while effectively suppressing false positives induced by impact signals. This work provides a significantly more accurate and robust solution for spacecraft leakage monitoring and holds strong potential for broader applications in weak, irregular signal detection within noisy environments.","PeriodicalId":13341,"journal":{"name":"IEEE Transactions on Instrumentation and Measurement","volume":"75 ","pages":"1-12"},"PeriodicalIF":5.9,"publicationDate":"2026-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147362259","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An Adaptive Spatial Positioning Algorithm for Ultrasonic-Only Parking Slot Detection System","authors":"Yang Liu;Kun Shang;Danlei Qiao;Chuanqing Zhou","doi":"10.1109/TIM.2026.3655897","DOIUrl":"https://doi.org/10.1109/TIM.2026.3655897","url":null,"abstract":"In the field of automated parking system, achieving precise detection of parking slot edge only through ultrasonic sensors remains the fundamental challenge for implementing an ultrasonic-only parking system. In this work, an adaptive spatial positioning (ASP) algorithm is proposed utilizing a single ultrasonic sensor based on the principle of multiple reflections of ultrasonic waves at the same obstacle edge, enabling precise edge detection. The edge detection results from ipsilateral ultrasonic sensors are subsequently fused through a decision tree algorithm, followed by noise reduction via clustering methods to eliminate discrete outliers, ultimately achieving accurate parking space detection. The proposed ASP algorithm demonstrates superior computational efficiency, exhibiting a memory footprint of 420 bytes and an execution time of <inline-formula> <tex-math>$44~mu $ </tex-math></inline-formula>s. Ultimately, the ultrasonic-only slot detection system is tested in real-world scenarios, demonstrating an 87.5% obstacle (vehicle) edge correction rate, 86.4% bilateral slot between vehicles (100% for slot between vehicle and pillar) detection rate, and 100% unilateral slot detection rate, with an average positioning error of <25 cm. It demonstrates its applicability in an ultrasonic-only parking system.","PeriodicalId":13341,"journal":{"name":"IEEE Transactions on Instrumentation and Measurement","volume":"75 ","pages":"1-9"},"PeriodicalIF":5.9,"publicationDate":"2026-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146169932","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Li Yafeng;Xue Qilong;Qu Jun;Jia Jianbo;Guo Huijuan;Ji Guodong
{"title":"Quantification and Validation of Fatigue Life Differences in Push-the-Bit Rotary Steerable Systems via Vibration Pattern Measurement","authors":"Li Yafeng;Xue Qilong;Qu Jun;Jia Jianbo;Guo Huijuan;Ji Guodong","doi":"10.1109/TIM.2026.3656041","DOIUrl":"https://doi.org/10.1109/TIM.2026.3656041","url":null,"abstract":"The downhole high-frequency measurement is critical for preventing costly failures of push-the-bit rotary steerable systems (PTB-RSSs). However, the differences in the fatigue life under multimode vibrations have not been clearly identified using existing measurement and interpretation methods. This study establishes a multiboundary coupled dynamics model of PTB-RSS, validated with field measurements, which incorporates the steering force friction, bit–rock interaction, and bottom hole assembly (BHA)–borehole contact mechanisms. Validation using high-frequency field data showed a Pearson correlation coefficient of 0.933 for rotational speed, close agreement in acceleration spectral characteristics, and an average error of only 6.13% in steering displacement compared with theoretical values, confirming the model’s high fidelity in reproducing key downhole vibration patterns. Stress signals obtained from the validated model were processed using the rainflow counting method. The results indicate that stick–slip vibration reduces the fatigue life of BHA by at least 68.38%, while high-frequency whirl and torsional vibrations reduce it by more than 90%. Moreover, when the steering force approaches 30 kN, it readily excites the high-frequency vibration in BHA, significantly shortening its service life. The core methodological innovation of this study lies in establishing a validated dynamics model that serves as a virtual sensor. This model enables the first translation of measurable vibration patterns into quantified fatigue life differences, thereby providing an operable, measurement-driven technical framework for predicting BHA fatigue life based on high-frequency dynamic signal measurements.","PeriodicalId":13341,"journal":{"name":"IEEE Transactions on Instrumentation and Measurement","volume":"75 ","pages":"1-20"},"PeriodicalIF":5.9,"publicationDate":"2026-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146169934","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Binwen Li;Bo Zhao;Jiaxin Li;Weijia Shi;Xinqi Tian;Jiubin Tan
{"title":"Virtual-Source Excitation Super-Resolution Imaging: A Fast and Robust Method for Multilayer Structures","authors":"Binwen Li;Bo Zhao;Jiaxin Li;Weijia Shi;Xinqi Tian;Jiubin Tan","doi":"10.1109/TIM.2026.3657509","DOIUrl":"https://doi.org/10.1109/TIM.2026.3657509","url":null,"abstract":"The ultrasonic array is widely used for nondestructive evaluation (NDE) as it has a large inspection coverage and is sensitive to small defects. The time-reversal multisignal classification method can achieve super-resolution imaging (SRI) for defects whose size is below the Rayleigh diffraction limit with full-matrix capture (FMC) data. However, the FMC only uses a single element in the transmit stage and hence degrades the signal-to-noise ratio (SNR) of echo waves in multilayer structures, which lead to poor resolution ability of practical imaging. Additionally, the FMC consumes a long acquisition time and produces a large data volume, which decreases the scanning speed of automatic detection equipment. Focusing on these problems, a novel imaging method called virtual-source excitation SRI (VSE-SRI) is proposed. The VSE-SRI applies a group of elements to transmit energy, by adjusting the delay time of each element, the energy can be concentrated in the layer of detected material, which contains defects, and the energy attenuation in the transmit stage is greatly decreased, which improves the SNR of signals and the resolution ability of images. More importantly, with a higher SNR, equal resolution performance can be realized with fewer transmit times. Experiments demonstrate that the VSE-SRI can resolve the two 1 mm holes with a distance of 0.60 Rayleigh limit in a three-layer composite structure. Compared with traditional FMC-SRI, the peak-to-center intensity difference (PCID) increases from 1.02 to 8.38 dB, and the data volume decreases from <inline-formula> <tex-math>$64times 64$ </tex-math></inline-formula> A-scan signals to <inline-formula> <tex-math>$64times 3$ </tex-math></inline-formula> A-scan signals. It is promised that the proposed VSE-SRI method can achieve faster and more robust SRI for multilayer composite structures in high-speed automatic detection situations.","PeriodicalId":13341,"journal":{"name":"IEEE Transactions on Instrumentation and Measurement","volume":"75 ","pages":"1-11"},"PeriodicalIF":5.9,"publicationDate":"2026-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146175646","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Ranging Enhancement for Underwater Collision Avoidance Sonar via ISAC Waveform and Adaptive Sensing Acceleration","authors":"Shihui Liang;Weibo Mao;Dongdong Zhao;Peng Chen;Wei Zou;Fan Zhou;Wei Wu;Fuling Huang;Ronghua Liang","doi":"10.1109/TIM.2026.3655998","DOIUrl":"https://doi.org/10.1109/TIM.2026.3655998","url":null,"abstract":"Traditional collision avoidance sonars perform a round-trip ranging measurement per operational cycle, where longer detection distances lead to longer cycle durations. The low propagation speed of acoustic signals increases their susceptibility to Doppler effects, which can ultimately degrade ranging accuracy or success rates and, in severe cases, lead to economic losses or even loss of life. To address this issue, we propose a ranging enhancement method for collision avoidance sonar inspired by integrated sensing and communication (ISAC) principles. At the signal level, we introduce a tail-flipping linear frequency-modulation (TF-LFM) waveform along with a Doppler channel estimation method to maintain stability under severe channel conditions. Simulation results demonstrate that the proposed waveform achieves robust measurement under strong Doppler distortions. With a remarkably low average peak-to-average power ratio (PAPR) of approximately 3.01 dB, the signal is easy to transmit and resilient to nonlinear distortion. At the processing level, we propose an adaptive sensing acceleration (ASA) mechanism that allows the sonar to emit new pulses before previous echoes return, thereby reducing ranging latency. In a field pool experiment, the upgraded sonar system achieved a 65.9% reduction in latency per ranging cycle using the proposed method, demonstrating a substantial enhancement in measurement efficiency.","PeriodicalId":13341,"journal":{"name":"IEEE Transactions on Instrumentation and Measurement","volume":"75 ","pages":"1-14"},"PeriodicalIF":5.9,"publicationDate":"2026-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146169931","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Xi Wang;Letian Gao;Zihao Huang;Xin Xia;You Li;Guangcai Wang;Lu Xiong
{"title":"Fast In-Motion Alignment for LiDAR–Inertial in Challenging Scenarios","authors":"Xi Wang;Letian Gao;Zihao Huang;Xin Xia;You Li;Guangcai Wang;Lu Xiong","doi":"10.1109/TIM.2026.3654702","DOIUrl":"https://doi.org/10.1109/TIM.2026.3654702","url":null,"abstract":"The initial alignment of a vehicular inertial navigation system (INS) is a critical process, where accuracy and convergence speed represent the primary performance challenges. This article addresses initial attitude estimation errors resulting from unreliable aiding information and limited observation time in complex environments, such as during global navigation satellite system (GNSS) signal outages or wheel slippage. To mitigate these issues, a novel dynamic initial alignment strategy aided by light detection and ranging (LiDAR) is proposed to overcome the limitations inherent to conventional GNSS- or odometer (OD)-aided methods. Furthermore, to achieve fast, high-precision alignment with sparse observation data, a dynamic alignment model employing chronological optimization is developed. The proposed algorithm is validated through both simulations and real-world vehicle experiments. Results demonstrate that, compared with existing state-of-the-art methods, the proposed strategy exhibits superior environmental adaptability and faster convergence speed under dynamic conditions.","PeriodicalId":13341,"journal":{"name":"IEEE Transactions on Instrumentation and Measurement","volume":"75 ","pages":"1-12"},"PeriodicalIF":5.9,"publicationDate":"2026-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146026385","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}