WANG Wei, YAN Jianguo, SHI Xian, PING Jinsong. Numerical Analysis of Lunar Satellite Orbit Revolutionary[J]. Geomatics and Information Science of Wuhan University, 2007, 32(1): 19-23.
Citation: WANG Wei, YAN Jianguo, SHI Xian, PING Jinsong. Numerical Analysis of Lunar Satellite Orbit Revolutionary[J]. Geomatics and Information Science of Wuhan University, 2007, 32(1): 19-23.

Numerical Analysis of Lunar Satellite Orbit Revolutionary

Funds: 国家自然科学基金资助项目(40674005);;武汉大学地球空间环境与大地测量教育部重点实验室开放研究基金资助项目;;中国科学院百人计划基金资助项目(804156)
More Information
  • Received Date: October 28, 2006
  • Revised Date: October 28, 2006
  • Published Date: January 04, 2007
  • By using of GEODYNⅡ from GSFC/NASA/USA and newly lunar gravity model LP165P from JPL/NASA/USA,the effects on the orbit revolutionary from different models by truncation to some degree and order are simulated and computed,the orbit revolutionary and analysis of orbital lifetime under different height,inclination and ellipticity with same lunar gravity model are computed.The results show that high inclination circular high orbit(150 km or 200 km) has better performance,with its orbit lasting more than one year without(alignment,) and its orbit can be computed with gravity model truncated in degree and order 100 without losing its accuracy.
  • Related Articles

    [1]LI Yanjie, YANG Yuanxi, HE Haibo. Effects Analysis of Constraints on GNSS/INS Integrated Navigation[J]. Geomatics and Information Science of Wuhan University, 2017, 42(9): 1249-1255. DOI: 10.13203/j.whugis20150526
    [2]LI Yongming, GUI Qingming, GU Yongwei, HAN Songhui. The Biased Kalman Filter and Algorithm[J]. Geomatics and Information Science of Wuhan University, 2016, 41(7): 946-951. DOI: 10.13203/j.whugis20140072
    [3]LI Zengke, WANG Jian, GAO Jingxiang, TAN Xinglong. A Method to Prevent GPS / INS Integrated Navigation Filtering Divergence Based on SVM[J]. Geomatics and Information Science of Wuhan University, 2013, 38(10): 1216-1220.
    [4]HE Zhengbin, NIE Jianliang, WU Fumei, ZHANG Juqing. Kalman Filtering Algorithm Based on Random Design Matrices with Application to Integrated GNSS/INS Navigation[J]. Geomatics and Information Science of Wuhan University, 2012, 37(9): 1036-1040.
    [5]WU Fumei, NIE Jianliang, HE Zhengbin. Classified Adaptive Filtering to GPS/INS Integrated Navigation Based on Predicted Residuals and Selecting Weight Filtering[J]. Geomatics and Information Science of Wuhan University, 2012, 37(3): 261-264.
    [6]WU Fumei, YANG Yuanxi, CUI Xianqiang. Application of Adaptive Factor Based on Partial State Discrepancy in Tight Coupled GPS/INS Integration[J]. Geomatics and Information Science of Wuhan University, 2010, 35(2): 156-159.
    [7]HE Dian, YUAN Yunbin, CHAI Yanju. On Adapting Kalman Filtering for Adjusting Observation Noise Covariance in GPS/INS Integration[J]. Geomatics and Information Science of Wuhan University, 2008, 33(8): 838-841.
    [8]XIAO Jinli, PAN Zhengfeng, HUANG Shengxiang. Data Synchronization Method of GPS/INS Integrated Navigation System[J]. Geomatics and Information Science of Wuhan University, 2008, 33(7): 715-717.
    [9]GAO Weiguang, YANG Yuanxi, ZHANG Shuangcheng. GPS/INS Adaptive Filtering Considering the Influences of Kinematic Model Errors[J]. Geomatics and Information Science of Wuhan University, 2008, 33(2): 191-194.
    [10]SUN Hongxing, YAN Li, JIANG Weiping. Accurately Calculating Exterior Orientation Elements of Airborne TLS Using Kalman Filter to Process the New Combination of GPS Double-Difference Carrier Phase and Doppler/INS Data[J]. Geomatics and Information Science of Wuhan University, 2004, 29(7): 642-645.

Catalog

    Article views (1110) PDF downloads (444) Cited by()
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return