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| 1 | Adaptive Robust Filtering Algorithm for BDS Medium and Long Baseline Three Carrier Ambiguity Resolution显示文摘For classical TCAR(three carrier ambiguity resolution)algorithm is affected by ionospheric delay and measurement noise,it is difficult to reliably fix ambiguity at medium and long baselines.An improved TCAR algorithm which takes the influence of ionospheric delay into account and has good adaptive robustness is proposed.On the basis of the non-geometric TCAR model,ionospheric delay is obtained by linearly combining extra-wide-lane with fixed ambiguity,and then wide-lane ambiguity is solved.Solving narrow-lane ambiguity by adaptive robust filtering by constructing optimal combination observation,which can effectively improve the fixed success rate of narrow-lane ambiguity and reduce the adverse effects of gross error.Experimental results show that the improved TCAR algorithm can guarantee a high fixed correct rate of wide-lane ambiguity,effectively improve fixed success rate of narrow-lane ambiguity,and has a good ability to resist gross error. | Yangjun GAO Zhiwei LV Pengjin ZHOU Zhengyang JIA Lundong ZHANG Dianwei CONG | 2020 | Journal of Geodesy and Geoinformation Science2020，3，2： | 5 |
| 2 | Methods for predicting the remaining useful life of equipment in consideration of the random failure threshold显示文摘The value range of the failure threshold will generate an uncertain influence on the prediction results for the remaining useful life(RUL) of equipment. Most of the existing studies on the RUL prediction assume that the failure threshold is a fixed value,as they have difficulty in reflecting the random variation of the failure threshold. In connection with the inadequacies of the existing research, an in-depth analysis is carried out to study the effect of the random failure threshold(RFT) on the prediction results for the RUL. First, a nonlinear degradation model with unit-to-unit variability and measurement error is established based on the nonlinear Wiener process. Second, the expectation-maximization(EM) algorithm is used to solve the estimated values of the parameters of the prior degradation model, and the Bayesian method is used to iteratively update the posterior distribution of the random coefficients. Then, the effects of three types of RFT constraint conditions on the prediction results for the RUL are analyzed, and the probability density function(PDF) of the RUL is derived. Finally,the degradation data of aero-turbofan engines are used to verify the correctness and advantages of the method. | WANG Zezhou CHEN Yunxiang CAI Zhongyi GAO Yangjun WANG Lili | 2020 | Journal of Systems Engineering and Electronics2020，31，2： | 5 |
| 3 | Predictions of NOx/N2O emissions from an ultra-supercritical CFB boiler using a 2-D comprehensive CFD combustion model显示文摘NOx and N2O emissions from an ultra-supercritical circulating fluidized bed(CFB)boiler were predicted using a two dimensional(2-D)comprehensive computational fluid dynamics(CFD)combustion model.This model was developed from a three dimensional model for a supercritical CFB boiler previously constructed by our group.Based on an analysis of the NOx and N2O conversion processes in a CFB boiler,the primary formation and destruction reactions were introduced into the 2-D model and coupled.The resulting model was validated using data from the Baima 600 MW supercritical CFB boiler,and then applied to a 660 MW ultra-supercritical CFB boiler.The effects of excess air,the secondary air(SA)to(primary air(PA)plus SA)ratio and the SA injection height on NOx and N2O emissions were investigated.The results show that a higher excess air volume increases both NOx and N2O emissions,while increasing the SA/(PA+SA)ratio somewhat reduces both the NOx and N2O concentrations.On the basis of the results of this work,optimal locations for SA injection ports so as to lower NOx and N2O emissions are recommended. | Jieqiang Ji Leming Cheng Yangjun Wei Junfeng Wang Xinyu Gao Mengxiang Fang Qinhui Wang | 2020 | Particuology2020，18，2： | 4 |
| 4 | Results of Clinical Trial of Superficially-placed Tumor Therapy with Carbon Ions at Heavy Ion Research Facility in Lanzhou(HIRFL显示文摘 | Zhang Hong Li Sha Wang Xiaohu Li Qiang Zhao Weiping Dai Zhongying Wei Shihua Gao Liying Xiao Guoqing Xu Hushan Hu Zhengguo Mao Ruishi Yue Yangjun Ran Juntao Tian Zhongze Song Mingtao Zhao Hongwei Zhan Wenlong | 2007 | 近代物理研究所和兰州重离子加速器实验室年报:英文版2007，，1： | 2 |
| 5 | Improved adaptively robust estimation algorithm for GNSS spoofer considering continuous observation error显示文摘Once the spoofer has controlled the navigation sys-tem of unmanned aerial vehicle(UAV),it is hard to effectively control the error convergence to meet the threshold condition only by adjusting parameters of estimation if estimation of the spoofer on UAV has continuous observation error.Aiming at this problem,the influence of the spoofer’s state estimation error on spoofing effect and error convergence conditions is theoretically analyzed,and an improved adaptively robust estimation algo-rithm suitable for steady-state linear quadratic estimator is pro-posed.It enables the spoofer’s estimator to reliably estimate UAV status in real time,improves the robustness of the estima-tor in responding to observation errors,and accelerates the con-vergence time of error control.Simulation experiments show that the mean value of normalized innovation squared(NIS)is reduced by 88.5%,and the convergence time of NIS value is reduced by 76.3%,the convergence time of true trajectory error of UAV is reduced by 42.3%,the convergence time of estimated trajectory error of UAV is reduced by 67.4%,the convergence time of estimated trajectory error of the spoofer is reduced by 33.7%,and the convergence time of broadcast trajectory error of the spoofer is reduced by 54.8%when the improved algorithm is used.The improved algorithm can make UAV deviate from pre-set trajectory to spoofing trajectory more effectively and more subtly. | GAO Yangjun LI Guangyun LYU Zhiwei ZHANG Lundong LI Zhongpan | 2022 | Journal of Systems Engineering and Electronics2022，33，5： | 2 |
| 6 | 3 - 64 Progress of Tumor Radiotherapy with Carbon Ions at Heavy Ion Research Facility in Lanzhou (HIRFL) of IMP显示文摘 | Zhang Hong Li Sha Wang Xiaohu Li Qiang Wei Shihua Gao Liying Zhao Weiping Hu Zhengguo Mao Ruishi Xu Hushan Yue Yangjun Zhang Qiuning Ran Juntao Tian Zhongze Xiao Guoqing Zhan Wenlong | 2010 | IMP & HIRFL Annual Report2010，，1： | 0 |
| 7 | 离子在等离子体中的电荷态分布与尾场调制效应研究显示文摘Plasma,called the fourth form of matter,not only plays an important role in astrophysics,but also becomes the new interest in atomic physics,material science and other aspects.Ion beam–plasma interaction can be a new solution to understand the plasma properties.For instance the collision of ion and free electrons dominate in plasma,which can induce the higher energy loss and the change of charge state,as well as the wake-field can modify the ion beam from a continues mode to a pulsed mode with a focused/unfocused spot. | Cheng Rui Wang Yuyu Zhou Xianming Lei Yu Chen Yanhong Zhao Yongtao He Bin Wu Dong Ying Yangjun Ren Jieru Gao Fei Hu Zhanghu Ma Xinwen Xiao Guoqing | 2018 | IMP & HIRFL Annual Report2018，，1： | 0 |
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