MeasurementPub Date : 2026-05-05Epub Date: 2026-03-06DOI: 10.1016/j.measurement.2026.121045
Zezhong Zheng, Ruoliang Huang, Yibing Shang, Weishi Jin
{"title":"Wildfire smoke detection based on enhanced YOLOv7 with video images","authors":"Zezhong Zheng, Ruoliang Huang, Yibing Shang, Weishi Jin","doi":"10.1016/j.measurement.2026.121045","DOIUrl":"10.1016/j.measurement.2026.121045","url":null,"abstract":"<div><div>An improved YOLOv7-I-CBAMI model (enhanced You Only Look Once version7 integrated with the Convolutional Block Attention Module) combined with ridge edge detection is proposed to detect wildfire smoke in mountainous areas. YOLO (You Only Look Once) reformulates object detection as a regression task, utilizing the entire image as input and generating bounding box coordinates and class labels through a single neural network, offering high detection accuracy and speed. However, limitations exist in detecting closely spaced and small objects, and distinguishing between clouds and wildfire smoke remains an unresolved issue. To address these challenges, a bidirectional feature pyramid network is introduced to improve detection accuracy, and an enhanced CBAM (Convolutional Block Attention Module) attention mechanism is incorporated to overcome YOLOv7′s limitations in detecting small targets and faint wildfire smoke features. Furthermore, ridge edge detection is integrated for secondary optimization, reducing the confusion between wildfire smoke and natural clouds. Experimental results on a wildfire-prone transmission corridor video dataset around Kunming, provided by Yunnan Power Grid, indicate that the YOLOv7-I-CBAMI network achieves superior performance in Precision, Recall, and F1-Score. By integrating ridge edge detection with wildfire smoke detection, Precision is improved and overall performance metrics are also enhanced, achieving final values of 0.83 for Precision, 0.82 for Recall, and 0.82 for F1-Score, with a detection speed of 21.20 FPS (Frames Per Second). These results validate the effectiveness of the proposed YOLOv7-I-CBAMI model with ridge detection for rapid and accurate detection of wildfire smoke in transmission corridors.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"272 ","pages":"Article 121045"},"PeriodicalIF":5.6,"publicationDate":"2026-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147388156","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}
MeasurementPub Date : 2026-05-05Epub Date: 2026-03-01DOI: 10.1016/j.measurement.2026.121017
Andrea Ruan , Hunter Douglas Nowak , Lukas Benjamin Inhestern , James Taylor , John P. Clark , Guillermo Paniagua
{"title":"Bridging the gap between high-speed linear cascades and rotating turbine facilities","authors":"Andrea Ruan , Hunter Douglas Nowak , Lukas Benjamin Inhestern , James Taylor , John P. Clark , Guillermo Paniagua","doi":"10.1016/j.measurement.2026.121017","DOIUrl":"10.1016/j.measurement.2026.121017","url":null,"abstract":"<div><div>This paper presents the design, instrumentation, and commissioning of a novel measurement tool for testing turbomachinery components, specifically targeted to transonic rotors. This tool enables high-resolution investigation of complex 3D rotating geometries in the stationary frame, addressing the scarcity of relevant transonic facilities capable of precise aerodynamic diagnostics. The presented testing solution bridges the gap between the well-established linear cascades and rotating rigs enabling high-resolution measurements and optical access in an annular cascade comparable to what is standard practice in low-speed linear cascades. Conversely, high-speed rotating rigs are typically limited to torque and power measurements due to the small airfoil size and restricted access. A flow conditioning gauze with hundreds of radial and circumferential blades replicates the total pressure and whirl angle profiles experienced by the rotor in its relative frame at transonic conditions. Gauze placement was optimized using 3D Reynolds-Averaged Navier-Stokes simulations to ensure homogeneous inlet conditions. The final hardware was machined in stainless steel to withstand elevated temperatures. Inlet flow quality was verified with total pressure probes and static taps around the annulus. Downstream of the gauze, total pressure, whirl angle, and Mach number profiles were measured using Kiel and five-hole probe traverses, confirming agreement with design targets and validating this configuration for turbomachinery testing. The rig supports both sector and full-annular cascade configurations, including single and rainbow geometries. Tests can exceed 30 min, enabling high-resolution, full-annulus traverses. Exit Reynolds numbers range from 30,000 to 4,000,000, with independently adjustable pressure ratios allowing testing from subsonic to supersonic conditions.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"272 ","pages":"Article 121017"},"PeriodicalIF":5.6,"publicationDate":"2026-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147388282","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}
MeasurementPub Date : 2026-05-05Epub Date: 2026-03-04DOI: 10.1016/j.measurement.2026.121067
Yichen Duan, Xuandi Sun, Yankun Chen, Tongmu Liu
{"title":"An open-set recognition method for ship radiated noise signals based on hybrid supervision","authors":"Yichen Duan, Xuandi Sun, Yankun Chen, Tongmu Liu","doi":"10.1016/j.measurement.2026.121067","DOIUrl":"10.1016/j.measurement.2026.121067","url":null,"abstract":"<div><div>Ship radiated noise signals are one of the most crucial sources of information for ship perception. With the intensification of human marine activities, the underwater acoustic environment has become increasingly complex, subjecting underwater acoustic perception systems to various interferences. In this paper, we construct a recognition scenario involving multiple target ship radiated noise signals and various types of interference. In this scenario, target signals comprise various ship radiated noise, whereas interference signals consist of both decoy and non-target ship noise. The objective of this study is to accurately recognize multiple target signals while mitigating the effects of interference. We formulate this as an open-set ship radiated noise recognition problem. We design an encoder–decoder architecture for processing time-domain ship radiated noise. Pre-trained on a closed-set dataset, this model effectively captures the distribution of closed-set data. Furthermore, we design a classifier integrating supervised and self-supervised learning, augmented with an attention mechanism to enhance its representation learning capability. We emulate decoy signals, and all experimental data are collected from real sea trials. Experimental results demonstrate that our method can accurately recognize multiple target ship radiated signals while remaining robust to interference.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"272 ","pages":"Article 121067"},"PeriodicalIF":5.6,"publicationDate":"2026-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147388338","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}
MeasurementPub Date : 2026-05-05Epub Date: 2026-03-05DOI: 10.1016/j.measurement.2026.120973
Zhixin Yang , Yousi Zheng , Feifei Tang , Hui Liu , Bin Wang , Nanjie Li , Yongmao Zhao
{"title":"Low earth orbit satellite short-term orbit prediction using the LSTM-Transformer neural network model","authors":"Zhixin Yang , Yousi Zheng , Feifei Tang , Hui Liu , Bin Wang , Nanjie Li , Yongmao Zhao","doi":"10.1016/j.measurement.2026.120973","DOIUrl":"10.1016/j.measurement.2026.120973","url":null,"abstract":"<div><div>The precise orbit of Low Earth Orbit (LEO) satellites is crucial for LEO-enhanced Global Navigation Satellite System (GNSS) precise positioning,<!--> <!-->and short-term orbit prediction is extremely necessary to compensate for the time delay caused by orbit determination. The traditional dynamical propagation method is susceptible to error accumulation, and single neural network models have limitations in effectively capturing temporal dependencies. In this study, we propose a hybrid neural network based on Long Short-Term Memory (LSTM) and Transformer architectures for LEO satellite orbit prediction, which combines the sequential processing capabilities of LSTM with the self-attention mechanism of the Transformer architecture. The orbit propagation errors are first calculated using traditional methods, and then the proposed hybrid model is employed to predict these errors for orbit correction. Four LEO satellites from different orbit altitudes, GRACE-C, SWARM-B, SENTINEL-3A, and SENTINEL-6A, are comprehensively evaluated to validate the prediction performance of the LSTM-Transformer model and corrected orbit accuracy. The results demonstrate that, under optimal length of sliding window (WL) parameter conditions, the prediction performance of propagation errors using the LSTM-Transformer model is improved by 40%-80% compared to the LSTM model. The corrected orbit accuracy by the predicted propagation errors is improved by 40%-95% and 5%-50% compared to the traditional method and the LSTM model, respectively, with no systematic bias present. Additionally, the LSTM-Transformer model also demonstrates strong generalization capabilities, with a 98% consistency compared with the standard models. During solar activity periods, the accuracy of orbit correction using this hybrid prediction model has also been improved by more than 30% compared with the traditional method.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"272 ","pages":"Article 120973"},"PeriodicalIF":5.6,"publicationDate":"2026-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147387978","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}
MeasurementPub Date : 2026-05-05Epub Date: 2026-03-03DOI: 10.1016/j.measurement.2026.121040
José Fernandes , Hélder Puga , Stijn W.H. Van Hulle , Paulo J. Ramísio
{"title":"Holistic framework to control ultrasonic cavitation in liquid media based on a systematic review","authors":"José Fernandes , Hélder Puga , Stijn W.H. Van Hulle , Paulo J. Ramísio","doi":"10.1016/j.measurement.2026.121040","DOIUrl":"10.1016/j.measurement.2026.121040","url":null,"abstract":"<div><div>The management of acoustic cavitation is crucial for enhancing the performance of optimized sonoreactors in various fields. With a growing interest in eco-friendly methods employing sono-reactors, the assessment of cavitation caused by ultrasonic devices is increasingly significant. Controlling cavitation is vital to maximize energy efficiency and its related impacts. Currently, traditional measurement methods include physical techniques (such as aluminium foil tests and calorimetry), optical methods (such as high-speed imaging, sonoluminescence, and particle image velocimetry), chemical approaches (including fluorescence and dosimetry), as well as acoustic methods (like hydrophones and active cavitation detectors). However, each of these methodologies possesses inherent limitations that can compromise measurement accuracy, lead to unnecessary costs, and result in a lack of methodological rigour. This review suggests an organized framework designed to assist in selecting the most suitable technique from the widely used methods, tailored to different application contexts. The framework includes application-specific questions derived from the review, helping to pinpoint methods that meet specific requirements.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"272 ","pages":"Article 121040"},"PeriodicalIF":5.6,"publicationDate":"2026-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147387984","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}
MeasurementPub Date : 2026-05-05Epub Date: 2026-03-03DOI: 10.1016/j.measurement.2026.121023
Yaoqi Feng , Hongwei Li , Xinwei Chen , Zihao Wang , Wentao Yu , Yinshu Ding
{"title":"The influence of rotor vibration frequency on measurement errors of the self-inductive displacement sensor","authors":"Yaoqi Feng , Hongwei Li , Xinwei Chen , Zihao Wang , Wentao Yu , Yinshu Ding","doi":"10.1016/j.measurement.2026.121023","DOIUrl":"10.1016/j.measurement.2026.121023","url":null,"abstract":"<div><div>The self-inductive displacement sensor has been widely used to measure the displacement of maglev rotors and is a crucial component of the active magnetic bearing (AMB) system. However, some of the dynamic performance of this sensor is unclear and needs further research. Therefore, a dynamic output model under the rotor sinusoidal periodical vibration was proposed through theoretical analysis based on an accurate sensor coil’s impedance model established previously. Based on a sensor with a nominal air gap of 1.2 mm, this paper studied the sensor’s output voltages under an excitation frequency of 50 kHz, different rotor vibration frequency ranges, and a displacement range of [-0.6, 0.6] mm by using the dynamic output model, finite element method, and experiments respectively. Then, the measurement errors between the rotor’s forward and backward vibration strokes were calculated. The theoretical analysis, simulation and experimental results are consistent, and they all show that the higher the rotor vibration frequency, the more the stroke measurement errors are evident. The errors are more evident in the displacement range of [−0.3, 0.3] mm. The maximum stroke displacement measurement errors almost linearly increase from about 0.0049 mm to 0.0185 mm, i.e. 0.82% to 3.08% of the rotor vibration amplitude in theoretical analysis, as the rotor vibration frequency increases from 500 Hz to 2000 Hz. The simulation and experimental results have verified the accuracy of the proposed dynamic output model of the sensor. This paper will lay an essential theoretical basis for further studying the dynamic performance of the self-inductive displacement sensor.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"272 ","pages":"Article 121023"},"PeriodicalIF":5.6,"publicationDate":"2026-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147387981","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}
MeasurementPub Date : 2026-05-05Epub Date: 2026-03-04DOI: 10.1016/j.measurement.2026.121047
Mingbo Xu , Degang Lv , Huijie Zhang
{"title":"Parameter-decoupling discrete-time repetitive controller based on ADRC for PMLSM disturbance suppression","authors":"Mingbo Xu , Degang Lv , Huijie Zhang","doi":"10.1016/j.measurement.2026.121047","DOIUrl":"10.1016/j.measurement.2026.121047","url":null,"abstract":"<div><div>To address the critical challenges of thrust ripple and disturbance suppression in permanent magnet linear synchronous motor (PMLSM) drives, conventional active disturbance rejection control (ADRC), while effective against DC disturbances, exhibits limited capability in rejecting high-frequency periodic disturbances due to the restricted bandwidth of its extended state observer (ESO). Furthermore, the inherent coupling between the observer gain and the controller bandwidth complicates parameter tuning and compromises harmonic suppression. To overcome these limitations, this paper proposes a parameter-decoupling discrete-time repetitive ADRC (PDDTRC-ADRC) strategy. The proposed strategy first establishes a parameter decoupled current model, which integrates cross-coupling effects and parameter variations into lumped disturbance, thereby achieving dynamic decoupling. Subsequently, a discrete-time repetitive controller (DTRC) is embedded into the error observation channel of the ESO to selectively attenuate dominant periodic disturbances, Moreover, by redesigning the control structure, a dual decoupling architecture is realized, which separates the ESO gain from the ADRC bandwidth and simplifies the tuning of control parameters. Experimental results confirm that under various operating conditions, the proposed strategy achieves up to 87% suppression of the 6th current harmonic, reduces thrust ripple by over 76%, thereby significantly enhancing both the steady-state precision and dynamic robustness of the system.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"272 ","pages":"Article 121047"},"PeriodicalIF":5.6,"publicationDate":"2026-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147388107","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}
MeasurementPub Date : 2026-05-05Epub Date: 2026-02-24DOI: 10.1016/j.measurement.2026.120860
Wei-Lian Ou , Jia-Yi Tsai , Xosé Luís Deán-Ben , Daniel Razanksy , Hsiao-Chun Amy Lin
{"title":"Band-separated reconstruction for enhanced multiscale volumetric optoacoustic angiography","authors":"Wei-Lian Ou , Jia-Yi Tsai , Xosé Luís Deán-Ben , Daniel Razanksy , Hsiao-Chun Amy Lin","doi":"10.1016/j.measurement.2026.120860","DOIUrl":"10.1016/j.measurement.2026.120860","url":null,"abstract":"<div><div>Optoacoustic tomography offers unique capabilities for vascular imaging with high resolution and contrast. Its ability to resolve vessels across multiple scales is however hampered by limited detection bandwidth of piezoelectric sensors as well as frequency-dependent optical and acoustic attenuation. While band-separated reconstruction has shown promise in scanning optoacoustic mesoscopy and cross-sectional tomography, its potential for enhancing volumetric optoacoustic tomography (VOT) remains unexplored. This study proposes a band-separated processing workflow for VOT based on handheld spherical arrays with translational potential for clinical angiography. Complex volumetric phantoms were designed to assess the frequency-dependent enhancement in both small and large structures with arrays of 4, 7, and 10 <!--> <!-->MHz center frequencies. Additionally, imaging of healthy volunteers was further conducted to assess clinical viability. The stopband gain of the signal filter was optimized to balance resolution and contrast. In phantom studies, the proposed method improved the visibility of small deeply embedded targets, enhanced edge definition, and significantly increased the average signal intensity of small structures by more than 50-fold, while achieving a 5-fold increase for large structures despite their stronger optical attenuation. As expected, performance varied with imaging depth, shadowing, and transducer frequency: higher frequencies favored enhancement of small features, while lower frequencies better amplified larger structures. Angiographic finger images from healthy volunteers further confirmed these findings, demonstrating improved visualization of both fine and large vessels across all detectors. These results highlight the utility of band-separated processing for multiscale vascular imaging and expand the clinical potential of VOT for noninvasive vascular assessment.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"272 ","pages":"Article 120860"},"PeriodicalIF":5.6,"publicationDate":"2026-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147388108","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}
MeasurementPub Date : 2026-05-05Epub Date: 2026-03-09DOI: 10.1016/j.measurement.2026.121095
Jin Zhou , Ruiqing Han
{"title":"Simultaneous estimation of fault type and severity in rolling bearings via multichannel measurement data fusion and a physics-informed measurement model","authors":"Jin Zhou , Ruiqing Han","doi":"10.1016/j.measurement.2026.121095","DOIUrl":"10.1016/j.measurement.2026.121095","url":null,"abstract":"<div><div>Existing research on rolling bearing condition monitoring has predominantly focused on identifying fault types, with significantly less attention given to quantifying different levels of fault severity. To tackle these challenges, this study introduces a physics-informed YOLO v8 (PI-YOLO v8) model for simultaneous estimation of bearing fault type and severity through two novel physics-informed constraint terms embedded in the loss function. The proposed framework is based on the YOLO v8 architecture, enhanced by incorporating two physics-informed constraint terms into the standard loss function. The first is a fault type classification constraint, designed from the vibration pattern characteristics of different faults, which compels the network to learn tri-axial energy distributions that align with physical principles. The second is a severity constraint, established on the fundamental measurement principle of the monotonically increasing relationship between defect size and vibration amplitude. This term identifies severity levels through a triple-layer constraint mechanism comprising ordinal boundary, consistency, and smoothness regularization constraints, thereby incorporating prior physical knowledge into the measurement process. Additionally, a novel Short-time Fourier Transform-based Signal-to-RGB Image Mapping (STFT-STRIM) method is proposed for fusing multi-sensor measurement data. This technique converts the X, Y, and Z-axis vibration signals into time–frequency images via STFT and maps them to the red, green, and blue channels of an RGB image. Under small-sample training conditions, which simulate challenging measurement scenarios with limited data, PI-YOLO v8 model achieved high estimation accuracies of 97.1 % and 92.9 % for two public datasets, representing substantial improvements of 10.8 % and 11.9 % over the baseline YOLO v8 model.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"272 ","pages":"Article 121095"},"PeriodicalIF":5.6,"publicationDate":"2026-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147388157","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}
MeasurementPub Date : 2026-05-05Epub Date: 2026-03-09DOI: 10.1016/j.measurement.2026.121079
Zhao Chen , Nianna Fu , Jiaoxu Mei , Kun Liu , Xiaoming Gao , Guishi Wang
{"title":"Local oscillator laser power locked laser heterodyne radiometer with variable optical attenuator","authors":"Zhao Chen , Nianna Fu , Jiaoxu Mei , Kun Liu , Xiaoming Gao , Guishi Wang","doi":"10.1016/j.measurement.2026.121079","DOIUrl":"10.1016/j.measurement.2026.121079","url":null,"abstract":"<div><div>Laser heterodyne radiometer (LHR) has attracted considerable attention for atmospheric greenhouse gases (GHGs) monitoring due to its high spectral resolution and compact architecture. However, the local oscillator (LO) power fluctuation is a main limitation for improving LHR retrieval precision. To resolve this problem, a method for locking the LO power to a constant value is introduced. A variable optical attenuator (VOA) was employed for real-time locking of the LO power during scanning with a PID control algorithm. With this technique, the LO power was well locked with a fluctuation of less than 0.01%. This effectively reduced the mean relative intensity noise (RIN) with the maximum reduction reaching 2.44 dBc/Hz and increased the signal-to-noise ratio (SNR) by 83% compared with a conventional LHR without LO power locking. Atmospheric CO<sub>2</sub> transmission spectra were measured in Hefei, China, using the VOA-assisted LHR with LO power stabilization. The system achieved a measurement short-term repeatability of 0.2%, which was basically better than the conventional LHR. The proposed LO power locked technique provides an alternative solution for developing a high-accuracy LHR for atmospheric GHGs remote sensing.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"272 ","pages":"Article 121079"},"PeriodicalIF":5.6,"publicationDate":"2026-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147388159","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}