Measurement Science and Technology最新文献_第9页

An effective method for improving GNSS precise point positioning performance at the day boundary 提高全球导航卫星系统日边界精确点定位性能的有效方法

IF 2.7 3区工程技术

Measurement Science and Technology Pub Date : 2024-07-02 DOI: 10.1088/1361-6501/ad5de8

Jingxin Xiao, Haojun Li, Yafeng Sun, Xiaolu Liu

{"title":"An effective method for improving GNSS precise point positioning performance at the day boundary","authors":"Jingxin Xiao, Haojun Li, Yafeng Sun, Xiaolu Liu","doi":"10.1088/1361-6501/ad5de8","DOIUrl":"https://doi.org/10.1088/1361-6501/ad5de8","url":null,"abstract":"\u0000 Aiming to address poor self-consistency of the satellite clock and orbit interpolations at the day boundary, which is caused by the discontinuities of their International GNSS Service (IGS) products for two consecutive days, an effective method is proposed to improve the precise point positioning (PPP) performances at the day boundary. According to different orders of Lagrange interpolator and different IGS Analysis Centers (ACs) products of Center for Orbit Determination in Europe (CODE), GeoForschungsZentrum (GFZ) and Wuhan University (WUH), biases at the day boundaries are estimated and analyzed using a 4-day (DOY 94-97, 2022) data set of GPS, BDS-3 and Galileo from 123 IGS stations. These estimated biases show the time-varying characteristics. The differences in biases across 9th-11th orders of Lagrange interpolator are minimal, and these variances have a negligible impact on positioning. The results show that this poor self-consistency at the day boundary has an obvious influence on the kinematic PPP positioning, especially there is a centimeter-level variation at time of 24:00:00/00:00:00. This influence on the Up direction of kinematic PPP positioning is more serious than other directions. When the bias is estimated and corrected, the kinematic PPP positioning accuracies at the day boundary have a mean improvement of 0.043, 0.064 and 0.027m for WUH, GFZ and CODE, respectively. The mean improvements for GPS, BDS-3 and Galileo are 0.021, 0.062 and 0.051m. Additionally, the static PPP performances at the day boundary show the convergence times are shortened by 3.2, 6.2, and 2.5 minutes for WUH, GFZ and CODE, respectively, when the poor self-consistency of the satellite clock and orbit interpolations is estimated and corrected. Meanwhile, its 0.5 and 1 hour positioning accuracies are improved.","PeriodicalId":18526,"journal":{"name":"Measurement Science and Technology","volume":null,"pages":null},"PeriodicalIF":2.7,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141685178","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Model predictive path tracking control of intelligent vehicle based on dual-stage disturbance observer under multi-channel disturbances 多通道干扰下基于双级干扰观测器的智能车辆模型预测路径跟踪控制

IF 2.7 3区工程技术

Measurement Science and Technology Pub Date : 2024-07-02 DOI: 10.1088/1361-6501/ad5ddc

Lie Guo, Pengyuan Guo, Longxin Guan, Hui Ma

{"title":"Model predictive path tracking control of intelligent vehicle based on dual-stage disturbance observer under multi-channel disturbances","authors":"Lie Guo, Pengyuan Guo, Longxin Guan, Hui Ma","doi":"10.1088/1361-6501/ad5ddc","DOIUrl":"https://doi.org/10.1088/1361-6501/ad5ddc","url":null,"abstract":"\u0000 Parameter fluctuations, unmodeled dynamics, speed variation, steering actuator faults, and other multi-channel uncertain disturbances are the key challenges faced by the path tracking control of intelligent vehicles, which will affect the accuracy and stability of the path tracking. Therefore, a model predictive control (MPC) method based on a dual-stage disturbance observer (DDOB) is proposed in this paper. First, a tracking error dynamics model considering multi-channel uncertain disturbances is constructed, based on which a model predictive controller is designed to obtain the nominal front wheel steering angle by the Karush-Kuhn-Tucker (KKT) condition. Furthermore, the dual-stage disturbance observer is designed to enable real-time estimation of the system disturbances, and then the estimated disturbances are used as the compensation for the nominal front wheel steering angle, which establishes the MPC control law with parallel compensation of the dual-stage disturbance observer. Finally, the error boundedness of the dual-stage disturbance observer and the global stability of the model predictive controller are analyzed. The effectiveness and superiority of the proposed algorithm are verified through Carsim-Simulink simulation and hardware-in-the-loop (HiL) experiments.","PeriodicalId":18526,"journal":{"name":"Measurement Science and Technology","volume":null,"pages":null},"PeriodicalIF":2.7,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141684941","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Handheld structured light system for panoramic 3D measurement in mesoscale 用于中尺度全景三维测量的手持式结构光系统

IF 2.7 3区工程技术

Measurement Science and Technology Pub Date : 2024-07-02 DOI: 10.1088/1361-6501/ad5de2

Wenqing Su, Ji Tan, Zhaoshui He, Zhijie Lin, Chang Liu

{"title":"Handheld structured light system for panoramic 3D measurement in mesoscale","authors":"Wenqing Su, Ji Tan, Zhaoshui He, Zhijie Lin, Chang Liu","doi":"10.1088/1361-6501/ad5de2","DOIUrl":"https://doi.org/10.1088/1361-6501/ad5de2","url":null,"abstract":"\u0000 The measurement of complete 3D topography in mesoscale plays a vital role in high-precision reverse engineering, oral medical modeling, circuit detection, etc. Traditional structured light systems are limited to measuring 3D shapes from a single perspective. How to achieve high-quality mesoscopic panoramic 3D measurement remains challenging, especially in complex measured scenarios such as dynamic measurement, scattering medium, and high reflectance. To overcome these problems, we develop a handheld mesoscopic panoramic 3D measurement system for such complex scenes together with the fast point-cloud-registration and accurate 3D-reconstruction, where a motion discrimination mechanism is designed to ensure that the captured fringe is in a quasi-stationary case by avoiding the motion errors caused during fringe scanning; a deep neural network is utilized to suppressing the fringe-degradation caused by scattering mediums resulting to significantly improves the quality of the 3D point cloud; a strategy based on phase averaging is additionally proposed to simultaneously correct the saturation-induced errors and gamma nonlinear errors. Finally, the proposed system with a multi-threaded data processing framework is further developed to verify the proposed method and the corresponding experiments verify its feasibility.","PeriodicalId":18526,"journal":{"name":"Measurement Science and Technology","volume":null,"pages":null},"PeriodicalIF":2.7,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141687641","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

High-precision long distance measurement based on broad spectrum interferometry using a femtosecond laser 基于飞秒激光宽光谱干涉仪的高精度长距离测量技术

IF 2.7 3区工程技术

Measurement Science and Technology Pub Date : 2024-07-02 DOI: 10.1088/1361-6501/ad5ddb

Haoran Gao, Lei Huang, Xin Xu, Dagui Wang, Pengxiang Ge, Huining Zhao

引用次数: 0

Measurement of sand particle motion speed in multiphase wind-sand flow based on piezoelectric ceramic sensors 基于压电陶瓷传感器测量多相风沙流中的沙粒运动速度

IF 2.7 3区工程技术

Measurement Science and Technology Pub Date : 2024-07-02 DOI: 10.1088/1361-6501/ad5ddd

Ou Pu, Boqiu Yuan, Zhengnong Li, Zheng Chen, Yong Liang, Xiqiao Lin, Jihui Tan, Zhen Li

引用次数: 0

Accuracy analysis of UAV aerial photogrammetry based on RTK mode, flight altitude, and number of GCPs 基于 RTK 模式、飞行高度和 GCP 数量的无人机航空摄影测量精度分析

IF 2.7 3区工程技术

Measurement Science and Technology Pub Date : 2024-07-02 DOI: 10.1088/1361-6501/ad5dd7

Chenyan Tan, Zijun Chen, Ailin Liao, Xintian Zeng, Jinchao Cao

{"title":"Accuracy analysis of UAV aerial photogrammetry based on RTK mode, flight altitude, and number of GCPs","authors":"Chenyan Tan, Zijun Chen, Ailin Liao, Xintian Zeng, Jinchao Cao","doi":"10.1088/1361-6501/ad5dd7","DOIUrl":"https://doi.org/10.1088/1361-6501/ad5dd7","url":null,"abstract":"\u0000 The optimization of an unmanned aerial vehicle (UAV) aerial photogrammetry scheme is crucial for achieving higher precision mapping results. Three representative factors, namely the real-time kinematic (RTK) mode, flight altitude, and the number of ground control points (GCPs) were selected to analyze their impact on UAV aerial photogrammetry accuracy. Four flight altitude tests were conducted separately in two RTK modes, and five GCP layout schemes were designed. Based on this, the root mean square error (RMSE) values of 40 aerial photogrammetric results were analyzed. The results showed a significant correlation between flight altitude and resolution of the UAV aerial photogrammetric results. Further, conversion formulas between actual image resolution and flight altitude for different GCP values were also derived in RTK and non-RTK modes. In the case of precise positioning, the horizontal and vertical accuracy of the aerial photogrammetric image decreased with increasing flight altitude. Under the same flight altitude, the addition or no addition of GCPs, including changes in GCP numbers, had no significant effect on improving the accuracy of aerial photogrammetry in RTK mode. However, in non-RTK mode, the number of GCPs significantly affected accuracy. The horizontal and vertical RMSE values decreased rapidly with the increase in GCP numbers and then stabilized. However, regardless of whether RTK was activated, an excessive number of GCPs was not conducive to improving the accuracy of aerial photogrammetric results. The mapping accuracy of UAVs in RTK mode without GCPs was equivalent to that in non-RTK mode with GCPs. Therefore, when using RTK-UAVs, deploying GCPs is unnecessary under suitable circumstances. Finally, practical suggestions for optimizing the UAV aerial photogrammetry scheme are provided as a reference for related applications.","PeriodicalId":18526,"journal":{"name":"Measurement Science and Technology","volume":null,"pages":null},"PeriodicalIF":2.7,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141685310","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A GNSS/SINS fault detection and robust adaptive algorithm based on sliding average smooth bounded layer width 基于滑动平均平滑有界层宽的 GNSS/SINS 故障检测和鲁棒自适应算法

IF 2.7 3区工程技术

Measurement Science and Technology Pub Date : 2024-07-02 DOI: 10.1088/1361-6501/ad5dec

Guiling Zhao, Jinbao Wang, Shuai Gao, Zihao Jiang

{"title":"A GNSS/SINS fault detection and robust adaptive algorithm based on sliding average smooth bounded layer width","authors":"Guiling Zhao, Jinbao Wang, Shuai Gao, Zihao Jiang","doi":"10.1088/1361-6501/ad5dec","DOIUrl":"https://doi.org/10.1088/1361-6501/ad5dec","url":null,"abstract":"\u0000 The Global Navigation Satellite System/Strapdown Inertial Navigation System (GNSS/SINS) integrated navigation system is an important technology for UAV measurement and vehicle movement measurement. But in the operational process of the GNSS/SINS integrated navigation system, the Global Navigation Satellite System (GNSS) signal is vulnerable to external interference, resulting in abnormal system measurement data, and system faults. These faults will reduce the navigation and positioning performance of the system and reduce the measurement accuracy of the system. Aiming at this problem, a GNSS/SINS fault detection and robust adaptive algorithm based on sliding average smooth bounded layer width is proposed. The algorithm evaluates the system measurement data based on the innovation residual and incorporates the sliding average filter to design the fault detection function based on the smooth bounded width layer. Accurate detection of system faults using fault detection function. The fault detection function value is used to construct the robust cofactor matrix to correct the measurement error in real-time, to improve the accuracy and robustness of the state estimation. The experimental results show that: The proposed algorithm in the paper compares with two traditional robust adaptive algorithms based on smooth bounded layer fault detection and residual chi-square fault detection. The fault detection rates for small step faults show an increase of more than 44.26% and 9.54%, respectively. Similarly, for slowly varying faults, the fault detection rates exhibit an increase of more than 29.32% and 13.56%, respectively. Throughout the fault, the filtering accuracy demonstrates an increase of more than 16.52% and 15.47%, respectively. The algorithm effectively improves the measurement accuracy of the GNSS/SINS integrated navigation system.","PeriodicalId":18526,"journal":{"name":"Measurement Science and Technology","volume":null,"pages":null},"PeriodicalIF":2.7,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141688323","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Temperature Calibration of Sample Rods for Neutron Diffraction Apparatus in the Range of 6-473K 6-473K 范围内中子衍射仪器样品棒的温度校准

IF 2.7 3区工程技术

Measurement Science and Technology Pub Date : 2024-07-02 DOI: 10.1088/1361-6501/ad5de0

Kai Zhang, lei Yu Su, yi Jia Zhou, dong Dong Wang, kuang Huai Ding, biao Hua Zhang

引用次数: 0

OMS-SLAM: Dynamic Scene Visual SLAM Based on Object Detection with Multiple Geometric Feature Constraints and Statistical Threshold Segmentation OMS-SLAM：基于多重几何特征约束和统计阈值分割的物体检测的动态场景视觉 SLAM

IF 2.7 3区工程技术

Measurement Science and Technology Pub Date : 2024-07-02 DOI: 10.1088/1361-6501/ad5de5

Jialiang Tang, Zhengyong Feng, Peng Liao, Liheng Chen, Xiaomei Xiao

{"title":"OMS-SLAM: Dynamic Scene Visual SLAM Based on Object Detection with Multiple Geometric Feature Constraints and Statistical Threshold Segmentation","authors":"Jialiang Tang, Zhengyong Feng, Peng Liao, Liheng Chen, Xiaomei Xiao","doi":"10.1088/1361-6501/ad5de5","DOIUrl":"https://doi.org/10.1088/1361-6501/ad5de5","url":null,"abstract":"\u0000 SLAM technology is crucial to robot navigation. Despite the good performance of traditional SLAM algorithms in static environments, dynamic objects typically exist in realistic operating environments. These objects can lead to misassociated features, which in turn considerably impact the system’s localization accuracy and robustness. To better address this challenge, we have proposed the OMS-SLAM. In OMS-SLAM, we adopted the YOLOv8 target detection network to extract object information from environment and designed a dynamic probability propagation model that is coupled with target detection and multiple geometric constrains to determine the dynamic objects in the environment. For the identified dynamic objects, we have designed a foreground image segmentation algorithm based on depth image histogram statistics to extract the object contours and eliminate the feature points within these contours. We then use the GMS (Grid-based Motion Statistics) matching pair as the filtering strategy to enhance the quality of the feature points and use the enhanced feature points for tracking. This combined method can accurately identify dynamic objects and extract related feature points, significantly reducing its interference and consequently enhancing the system's robustness and localization accuracy. We also built static dense point cloud maps to support advanced tasks of robots. Finally, through testing on the high-speed dataset of TUM RGB-D, it was found that the root mean square error of the Absolute Trajectory Error (ATE) in this study decreased by an average of 97.10%, compared to ORB-SLAM2. Moreover, tests in real-world scenarios also confirmed the effectiveness of the OMS-SLAM algorithm in dynamic environments.","PeriodicalId":18526,"journal":{"name":"Measurement Science and Technology","volume":null,"pages":null},"PeriodicalIF":2.7,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141685688","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Indoor unknown radio transmitter localization using improved RSSD and grey correlation degree 利用改进的 RSSD 和灰色关联度进行室内未知无线电发射机定位

IF 2.7 3区工程技术

Measurement Science and Technology Pub Date : 2024-07-02 DOI: 10.1088/1361-6501/ad5de6

Liyang Zhang, Chenyu Xu, Rui Gao, Yin Liang, Lidong Zhang, Lixia Guo

{"title":"Indoor unknown radio transmitter localization using improved RSSD and grey correlation degree","authors":"Liyang Zhang, Chenyu Xu, Rui Gao, Yin Liang, Lidong Zhang, Lixia Guo","doi":"10.1088/1361-6501/ad5de6","DOIUrl":"https://doi.org/10.1088/1361-6501/ad5de6","url":null,"abstract":"\u0000 Accurate location of unknown radio transmitter (URT) is the key to secure wireless communication. Since the fingerprint positioning methods based on received signal strength difference (RSSD) can adapt to the diversity of transmitting power and frequency, RSSD has become a popular scheme for locating the unknown radio transmitter. However, the RSSD is obtained by subtracting the RSS from two different access points (APs), so the interference of noise on the RSS is inherited and amplified by the RSSD. Besides, the need for more APs to ensure positioning accuracy leads to an increase in hardware costs. In this paper, a RSSD-based fuzzy weight grey correlation degree positioning algorithm, called FUZZY-GREY, is proposed to reduce the interference of noise, save AP hardware cost and improve the positioning accuracy. Firstly, online RSSD vector is improved by using fuzzy weight to reduce the noise interference. Secondly, the RSSD-based grey correlation coefficient is designed to calculate the correlation degree of the corresponding RSSD and ensure data integrity. Finally, a RSSD-based grey correlation degree scheme combining with fuzzy weight is proposed to select optimal reference points (RPs). Simulation and experimental results show that the proposed algorithm has better positioning performance than weighted k-nearest neighbor (WKNN), maximum correlation coefficient estimation (MCORE), Naive Bayes and support vector machine (SVM) in the case of different selected K numbers, grid distances, noise levels and AP numbers.","PeriodicalId":18526,"journal":{"name":"Measurement Science and Technology","volume":null,"pages":null},"PeriodicalIF":2.7,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141687458","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0