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您的检索式：作者名="Yaming Dang"
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| 1 | Global characteristics of the second-order ionospheric delay error using inversion of electron density profiles from COSMIC occultation data显示文摘It is a well known fact that ionospheric delay error is a predominant factor which influences the positioning accuarcy of GNSS.Although the main part of the first-order ionospheric delay error can be removed by the frequency-dependent behaviors of the ionosphere,the second-order ionospheric delay error must be eliminated to achieve millimetre-scale positioning accuracy.Due to COSMIC occultation providing electron density profiles on the global scale,the paper presents the first-order and the second-order ionospheric delay error analysis on the global scale using the inversion of electron density profiles from COSMIC occultation data during 2009–2011.Firstly,because of the special geographical location of three ISR(incoherent scatter radar),the first-order and the second-order ionospheric delay errors are calculated and discussed;the paper also shows and analyzes the diurnal,seasonal,semi-annual variation of ionospheric delay error with respect to signal direction.Results show that for the L1 signal path,the first-order ionospheric delay error is the largest near the equator,which is circa 7 m;the maximum second-order ionospheric delay error are circa 0.6 cm,0.8 cm and 0.6 cm respectively for L1 signals coming from the zenith,the north and the south at 10 degree elevation angles.The second-order ionospheric delay error on the L1 signal path from zenith are the symmetry between 15°and 15°with respect to magnetic equator,and are nearly zero at the magnetic equator.For the first time,the second-order ionospheric delay error on the global scale is presented,so this research will greatly contribute to analysing the higher-order ionospheric delay error characteristics on the global scale. | WANG Hu WANG Cheng WANG JieXian DANG YaMing BAI GuiXia WANG QianXin | 2014 | Science China(Physics,Mechanics & Astronomy)2014，57，2： | 4 |
| 2 | The alignment of AlN platelets in polymer matrix and its anisotropic thermal properties显示文摘The thermal conductivity of polymer composites can be enhanced by the vertical alignment of anisotropic aluminum nitride(AlN)platelet fillers in polymer matrices.The AlN platelets in polymer matrix were aligned in the direction of in-plane and out-of-plane by using the doctor blading and the lamination process.The alignment of AlN plates in the out-of-plane or the in-plane direction has been confirmed by XRD and FE-SEM investigations.The polymer composite with the out-of-plane aligned AlN platelets showed almost 1.5 times or 2 times higher thermal conductivity than those with the AlN spheres or the in-plane aligned AlN platelets at the same filler content,respectively.This result could be attributed to the improvement of thermal pathway generated along the plane of platelets and the decrease of interfaces between the filler and the polymer. | Chang-Yeoul Kim Thi My Linh Dang Yaming Zhang Jian-Feng Yang Bo Wang | 2019 | Journal of Materiomics2019，5，4： | 4 |
| 3 | RAIM Algorithm Based on Fuzzy Clustering Analysis显示文摘With the development of various navigation systems(such as GLONASS,Galileo,BDS),there is a sharp increase in the number of visible satellites.Accordingly,the probability of multiply gross measurements will increase.However,the conventional RAIM methods are difficult to meet the demands of the navigation system.In order to solve the problem of checking and identify multiple gross errors of receiver autonomous integrity monitoring(RAIM),this paper designed full matrix of single point positioning by QR decomposition,and proposed a new RAIM algorithm based on fuzzy clustering analysis with fuzzy c-means(FCM).And on the condition of single or two gross errors,the performance of hard or fuzzy clustering analysis were compared.As the results of the experiments,the fuzzy clustering method based on FCM principle could detect multiple gross error effectively,also achieved the quality control of single point positioning and ensured better reliability results. | Shouzhou Gu Jinzhong Bei Chuang Shi Yaming Dang Zuoya Zheng Congcong Cui 无 | 2019 | Computer Modeling in Engineering & Sciences2019，，5： | 0 |
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