LIU Wanke, LI Zhenghang, GONG Xiaoying, WANG Fuhong. Influence of Tide Perturbation on Autonomous Orbit Determination of Navigation Satellites[J]. Geomatics and Information Science of Wuhan University, 2009, 34(12): 1394-1398.
Citation: LIU Wanke, LI Zhenghang, GONG Xiaoying, WANG Fuhong. Influence of Tide Perturbation on Autonomous Orbit Determination of Navigation Satellites[J]. Geomatics and Information Science of Wuhan University, 2009, 34(12): 1394-1398.

Influence of Tide Perturbation on Autonomous Orbit Determination of Navigation Satellites

Funds: 国家863计划资助项目(2009AA12Z301);国家自然科学基金资助项目(40874017);国家教育部高等学校博士学科点专项科研基金资助项目(20050486040)
More Information
  • Received Date: October 14, 2009
  • Revised Date: October 14, 2009
  • Published Date: December 04, 2009
  • We firstly discuss the constellation rotation errors of autonomous orbit determination of navigation satellites,which only make use of crosslink ranging observation.Then,we comprehensively analyze the influence of tide perturbation on right ascension of the ascending node and autonomous orbit determination.The processing results of 110 days' simulation data indicate that tide perturbation has a great impact on the errors of along-track and cross of autonomous orbit determination.Moreover,the impact will become bigger with the increase of days of the autonomous orbit determination.The difference of along-track and cross of autonomous orbit determination on the 110 days because of to tide perturbation is about 4 meters.Therefore,the necessity that consider the influence of tidal perturbation in high-precision autonomous orbit determination is proposed.
  • Related Articles

    [1]WANG Dingpan, DONG Xiaohuan, HUANG Lingyong, WANG Xiaohua, LI Qingjun, JI Shunping. Information Entropy Uncertainty Estimation Based Domain Adaptation for Land Cover Classification from Multi-source Remote Sensing Images[J]. Geomatics and Information Science of Wuhan University, 2024, 49(10): 1940-1952. DOI: 10.13203/j.whugis20220346
    [2]LIN Dongfang, YAO Yibin, LONG Sichun, XIE Jian. The Regularization Method for Forest Height Inversion by Integrating MultiBaseline PolInSAR Observation Information[J]. Geomatics and Information Science of Wuhan University. DOI: 10.13203/j.whugis20240275
    [3]MA Jun, CAO Cheng-du, JIANG Wei-ping, ZHOU Lü. Elimination of Colored Noise in GNSS Station Coordinate Time Series by Using Wavelet Packet Coefficient Information Entropy[J]. Geomatics and Information Science of Wuhan University, 2021, 46(9): 1309-1317. DOI: 10.13203/j.whugis20190353
    [4]LIU Wanzeng, LU Chenni, HUO Liang, WU Chenchen, ZHAO Tingting, ZHU Xiuli. Selection Method of Residential Point Features Constrained by Optimal Information Entropy[J]. Geomatics and Information Science of Wuhan University, 2021, 46(8): 1178-1185. DOI: 10.13203/j.whugis20190305
    [5]SUN Wenzhou, YIN Xiaodong, LI Shujun. A New Navigation Data Fusion Method Based on Entropy Coefficient Algorithm for Underwater Vehicles[J]. Geomatics and Information Science of Wuhan University, 2018, 43(10): 1465-1471. DOI: 10.13203/j.whugis20160550
    [6]CUI Shengcheng, ZHU Wenyue, YANG Shizhi, LI Xuebin. Regularization-Based Retrieval Method for Surface Reflective Property Parameters[J]. Geomatics and Information Science of Wuhan University, 2018, 43(8): 1264-1270. DOI: 10.13203/j.whugis20160244
    [7]SONG Huanhuan, WANG Shuzong. Application of Information Entropy Theory to Analyzing Tasks Scheduling for Submarine Combat System[J]. Geomatics and Information Science of Wuhan University, 2012, 37(12): 1477-1481.
    [8]JIANG Wanshou, PENG Fangyuan, YUE Chunyu, WANG Xiao. Multi-source Remote-sensing Image Matching Based on Ratio-Gradient and Cross-Cumulative Residual Entropy[J]. Geomatics and Information Science of Wuhan University, 2009, 34(9): 1047-1050.
    [9]ZHAO Hongrui, TANG Zhongshi, LI Xiaowen. A Regularization Parameter Choice Method on Nonlinear Ill-posed Quantitative Remote Sensing Inversion[J]. Geomatics and Information Science of Wuhan University, 2008, 33(6): 577-580.
    [10]ZHU Changqing, ZHANG Guoqin WANG Guangxia, . An Error Entropy Model for GIS Spatial Linear[J]. Geomatics and Information Science of Wuhan University, 2005, 30(5): 405-407.

Catalog

    Article views (942) PDF downloads (462) Cited by()
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return