Top Read Articles

    Published in last 1 year |  In last 2 years |  In last 3 years |  All
    Please wait a minute...
    For Selected: Toggle Thumbnails
    WANG Jing, BIAN Chun-Jiang, WANG Huai-Chao
    null    2018, 38 (6): 11-.  
    Abstract425)      PDF(pc) (13161KB)(406)      
    Related Articles | Metrics
    CHEN Li-Fu, WU Hong, CUI Xian-Liang, GUO Zheng-Hua, JIA Zhi-Wei
    null    2018, 38 (6): 45-.  
    Abstract424)      PDF(pc) (3155KB)(712)      
    Related Articles | Metrics
    ZHANG Ai, LI Yong
    null    2018, 38 (6): 1-.  
    Abstract409)      PDF(pc) (3150KB)(607)      
    Related Articles | Metrics
    SLAM method of failure spacecraft based on prior
    submap detecting
    KANG Guo-Hua, MA Yun, QIAO Si-Yuan, GUO Yu-Jie, JIN Chen-Di
    null    2019, 39 (1): 1-.   DOI: 10.16708/j.cnki.1000-758X.2019.0001
    Abstract389)      PDF(pc) (9002KB)(174)      
    The technology of estimating position and pose of spacecraft based on laser lidar is a research hotspot of onorbit services. For the position and pose estimation of failure spacecraft, the technology of general graphbased optimization SLAM was applied to the research of noncooperative target in space. In order to solve the problem of accumulative error generated in the dynamic scene, an improved SLAM algorithm based on detection of prior submap according to the characteristics of failure spacecraft was proposed. In this algorithm, laser lidar and inertia measurement unit were used to sample the point cloud data of failure spacecraft as well as the environment and the movement information of service spacecraft, to construct a relative pose graph of service scenario. Then the method of detecting prior submap was used to generate the constraints of discontinuous poses. At last, the constraints information was used to optimize the result of pose graph. The simulation result shows that the method decreases the cumulative deviation and improves precision of relative position and pose estimation compared to general SLAM algorithm, providing information for onorbit tasks such as navigation and controlling.
    Related Articles | Metrics
    ZHOU Xin-Shun, WANG Bei-Bei, GUO Xiao-Feng, FENG Yue, WAN Cheng-An
    null    2018, 38 (6): 59-.  
    Abstract364)      PDF(pc) (7772KB)(416)      
    Related Articles | Metrics
    LIANG Jian, ZHANG Run-Ning, LI Xiao-Yun, ZHANG He-Fen, CAI Ya-Wen, WANG Da-Wei, LUO Rong-Zheng
    null    2018, 38 (6): 21-.  
    Abstract356)      PDF(pc) (4410KB)(440)      
    Related Articles | Metrics
    DU Xu-Yang, XING Jie, GUAN Chun-Jian, SHENG Bei-Fei, HE Feng-Ping, LIU Hui
    null    2018, 38 (6): 52-.  
    Abstract352)      PDF(pc) (4183KB)(408)      
    Related Articles | Metrics
    Exprimental study on thermal conductivity enhancement technique for space carbonfiber shell structure
    PANG Le, SUN Jingwen, ZHAO Kaixuan, DAI Shanliang, LIU Gang, PENG Cong
    null    DOI: 10.16708/j.cnki.1000-758X.2019.0004
    CUI Yu-Fu, LIU Jing-Yu, HE Hong-Yan, YIN Huan
    null    2018, 38 (6): 28-.  
    Abstract332)      PDF(pc) (9482KB)(408)      
    Related Articles | Metrics
    Point precise positioning for LEO satellite based on realtime SSR data
    KANG Guohua,LIU Yao,QIAO Siyuan,JIN Chendi,GUO Yujie,LIANG Ertao
    null    DOI: 10.16708/j.cnki.1000-758X.2019.0007
    REN Tian-Peng, LU Wei-Tao, CHEN Lue, HAN Song-Tao, WANG Mei, XIE Jian-Feng, TANG Ge-Shi
    null    2018, 38 (6): 67-.  
    Abstract305)      PDF(pc) (2112KB)(446)      
    Related Articles | Metrics
     Onorbit intelligent identification of combined spacecraft′s inertia parameter based on deep learning
    JIN Chendi, KANG Guohua, GUO Yujie, QIAO Siyuan
    null    DOI: 10.16708/j.cnki.1000-758X.2019.0003
    GU Yi, ZHANG Ming-Hua, LI Ren, WAN Cheng-An, REN Liang
    null    2018, 38 (6): 73-.  
    Abstract274)      PDF(pc) (6657KB)(492)      
    Related Articles | Metrics
    YAN Rui-Dong, WANG Rong-Lan, LIU Si-Qing, GONG Jian-Cun
    null    2018, 38 (6): 36-.  
    Abstract271)      PDF(pc) (6240KB)(455)      
    Related Articles | Metrics
    A hyperspectral remote sensing image classification method based on multispatial information
    LIU Yongmei,MA Xiao,MEN Chaoguang
    null    DOI: 10.16708/j.cnki.1000-758X.2019.0013
    Study on interferometric imaging based on photonic integrated circuits
    YU Gongmin,XIAO Aiqun,JIN Libing,TONG Xiliang,ZHOU Feng
    null    DOI: 10.16708/j.cnki.1000-758X.2019.0010
    Behavior models of passive intermodulation interference in passive devices
    WU Jiayi,HU Tiancun,LIANG Bizheng,ZHANG Xuqi,LIU Celun
    null    DOI: 10.16708/j.cnki.1000-758X.2019.0009
    Orbit control force coefficient identification by Charp recursion method
    ZHANG Ying,WANG Xijing,YUAN Bo,KONG Dalin,BIAN Yanshan
    null    DOI: 10.16708/j.cnki.1000-758X.2019.0011
    Scheme design and analysis of recoverable sounding rocket reducer
    YANG Jian-Yu, YANG Xuan
    null    2019, 39 (5): 1-.   DOI: 10.16708/j.cnki.1000-758X.2019.0034
    Abstract214)      PDF(pc) (2810KB)(46)      
    In order to meet the requirements of the rapid recovery of sounding rocket and reduce the development cost,a new type of sounding rocket skirt reel deceleration program was proposed. It has light weight,changeable expansion angle,expanded resistance area and some other advantages. The aerodynamic characteristics of the supersonic sounding rocket reducer were analyzed, the external flow field was simulated and analyzed. The influence of different taper angles on the aerodynamic characteristics and overload was given. The stress and strain of the external flow field, the pressure field and the gear unit were presented. The results show that the pneumatic resistance of the gear unit is obviously related to its cone angle and has the nonlinear characteristics, and the maximum stress of the reducer is less than the allowable stress. This paper can provide reference for the design of sounding rocket and new reducer.
    Related Articles | Metrics
    Reorganization design of taskoriented space information networks architecture
    YU Shaobo, WU Lingda, CHEN Xiaoyan, LI Chao, YAO Zhonghua
    null    DOI: 10.16708/j.cnki.1000-758X.2019.0012