模糊聚类定权法对SLR定轨精度的影响

doi:10.11947/j.AGCS.2019.20180373

测绘学报 ›› 2019, Vol. 48 ›› Issue (10): 1236-1243.doi: 10.11947/j.AGCS.2019.20180373

模糊聚类定权法对SLR定轨精度的影响

邵璠^1,2,4, 王小亚^1,2,3,4, 何冰^1,2, 张晶^1,2

1. 中国科学院上海天文台, 上海 200030;
2. 中国科学院大学, 北京 100049;
3. 上海市空间导航与定位技术重点实验室, 上海 200030;
4. 宇航动力学国家重点实验室, 陕西西安 710043

收稿日期:2018-08-13 修回日期:2018-11-14 出版日期:2019-10-20 发布日期:2019-10-24
作者简介:邵璠(1994-),男,博士生,研究方向为卫星大地测量。E-mail:fanshao@shao.ac.cn
基金资助:
科技部科技基础工作专项（2015FY310200）；国家重点研发计划（2016YFB0501405）；上海市空间导航与定位技术重点实验室开放基金（06DZ22101）

Effect analysis of the weighting scheme with modified FCM clustering algorithm on precision of SLR orbit determination

SHAO Fan^1,2,4, WANG Xiaoya^1,2,3,4, HE Bing^1,2, ZHANG Jing^1,2

1. Shanghai Astronomical Observatory, Chinese Academy of Sciences, Shanghai 200030, China;
2. University of Chinese Academy of Sciences, Beijing 100049, China;
3. Shanghai Key Laboratory of Space Navigation and Positioning Techniques, Shanghai Astronomical Observatory, Chinese Academy of Sciences, Shanghai 200030, China;
4. State Key Laboratory of Aerospace Dynamics, Xi'an 710043, China

Received:2018-08-13 Revised:2018-11-14 Online:2019-10-20 Published:2019-10-24
Supported by:
The Special Project of Basic Work of Science and Technology of the Ministry of Science and Technology of China (No. 2015FY310200);The National Key Research and Development Program of China (No. 2016YFB0501405);The Open Fund of Shanghai Key Laboratory of Space Navigation and Positioning Techniques (No. 06DZ22101)

摘要/Abstract

摘要： 针对卫星激光测距（satellite laser ranging，SLR）精密定轨过程中存在的测站观测数据合理定权问题，将一种改进的模糊聚类算法引入到SLR观测数据定权中。基于国际激光测距服务（International Laser Ranging Service，ILRS）提供的全球SLR测站性能报告，对测站进行近实时滑动分类定权，改变SLR数据处理中权重的经验或者随意性选取模式。经过LAGEOS1卫星2014年1月至2016年12月3年全球SLR实测数据处理的测试。结果表明，当考虑LAGEOS标准点总数、LAGEOS标准点RMS值以及LAGEOS标准点合格率这3项测站质量控制因素确定的测站权值能最大限度地提高卫星定轨精度和观测数据的使用效率，对参与计算的365个3 d弧段数据，91.46%弧段精度得到提高，平均提高约3.7 mm，且每个测站的定轨残差RMS也得到了降低。这对于正在迈向毫米级测量精度的SLR技术至关重要。

关键词: 卫星激光测距, 精密定轨, 改进的模糊聚类算法, 全球SLR测站性能报告

Abstract: As to the problem of reasonable weighting of station observations in the precise orbit determination of satellite laser ranging (SLR), a modified fuzzy c-means(FCM) clustering algorithm is introduced into the determination of the weights of SLR station observations. Based on the SLR global performance report card provided by the International Laser Ranging Service (ILRS), it is performed that a near real-time sliding reweighting of the station, aiming to change the experienced or somewhat arbitrary weights in the SLR data processing. The orbit of satellite LAGEOS 1 from Jan. 2014 to Dec. 2016 is computed from the SLR data. The results show that the clustering carried out considering only the three variables in the SLR global performance report card:LAGEOS normal point volume, LAGEOS normal point RMS, and percentage of LAGEOS normal point accepted can improve the precision of orbit determination and the efficiency of station observations to the maximum extent. For the 365 3-day arcs involved in the calculation, the precision of the 91.46% arc segment is improved, and the average increase is about 3.7 mm. Additionally, the root mean square (RMS) of the observational residual of individual station is also reduced, which is crucial for SLR technology that is moving towards millimeter-scale measurement precision.

Key words: satellite laser ranging, precise orbit determination, modified FCM clustering algorithm, SLR global performance report card

中图分类号:

P228

邵璠, 王小亚, 何冰, 张晶. 模糊聚类定权法对SLR定轨精度的影响[J]. 测绘学报, 2019, 48(10): 1236-1243.

SHAO Fan, WANG Xiaoya, HE Bing, ZHANG Jing. Effect analysis of the weighting scheme with modified FCM clustering algorithm on precision of SLR orbit determination[J]. Acta Geodaetica et Cartographica Sinica, 2019, 48(10): 1236-1243.

参考文献 25

[1]	DEGNAN J J. Satellite laser ranging:current status and future prospects[J]. IEEE Transactions on Geoscience and Remote Sensing, 1985, GE-23(4):398-413.
[2]	DEGNAN J J. Millimeter accuracy satellite laser ranging:a review[M]//ESMITH D E, TURCOTTE D L. Contributions of Space Geodesy to Geodynamics:Technology. Washington:AGU, 1993:133-162.
[3]	冯初刚, 朱元兰, 张飞鹏. LAGEOS卫星精密定轨及残差分析[J]. 天文学报, 2003, 44(1):55-64. FENG Chugang, ZHU Yuanlan, ZHANG Feipeng. Determination of LAGEOS satellite's precise orbits and residual analysis[J]. Acta Astronomica Sinica, 2003, 44(1):55-64.
[4]	PEARLMAN M R. Workshop summary[C]//Proceedings of the 16th International Workshop on Laser Ranging. Poznan:Polish Academy of Science, 2009:4-8.
[5]	SEEBER G. Satellite geodesy[M].2nd ed. Berlin:Walter de Gruyter, 2003:424-436.
[6]	GURTNER W, NOOMEN R, PEARLMAN M R. The international laser ranging service:current status and future developments[J]. Advances in Space Research, 2005, 36(3):327-332.
[7]	ALTAMIMI Z, COLLILIEUX X, MÉTIVIER L. ITRF2008:an improved solution of the international terrestrial reference frame[J]. Journal of Geodesy, 2011, 85(8):457-473.
[8]	赵罡, 王小亚, 吴斌. 不同测站卫星质心不同改正对卫星激光测距定轨精度的影响分析[J]. 测绘学报, 2012, 41(2):165-170. ZHAO Gang, WANG Xiaoya, WU Bin. Effect analysis of system-dependent center-of-mass correction on precision of SLR orbit determination[J]. Acta Geodaetica et Cartographica Sinica, 2012, 41(2):165-170.
[9]	赵春梅, 瞿锋, 程鹏飞, 等. 阿根廷圣胡安激光测距系统的SLR数据质量分析[J]. 测绘学报, 2008, 37(3):338-341, 348. DOI:10.3321/j.issn:1001-1595.2008.03.012. ZHAO Chunmei, QU Feng, CHENG Pengfei, et al. Data quality analysis of Argentina San Juan laser ranging system[J]. Acta Geodaetica et Cartographica Sinica, 2008, 37(3):338-341, 348. DOI:10.3321/j.issn:1001-1595.2008.03.012.
[10]	PETIT G, LUZUM B. IERS conventions (2010)[R]. IERS Technical Note No.36. Frankfurt:IERS, 2010:1-95.
[11]	PEARLMAN M R, DEGNAN J J, BOSWORTH J M. The international laser ranging service[J]. Advances in Space Research, 2002, 30(2):135-143.
[12]	PEARLMAN M, NOLL C, GURTNER W, et al. The international laser ranging service and its support for GGOS[M]//TREGONING P, RIZOS C. Dynamic Planet. Berlin:Springer, 2007:348-53.
[13]	秦显平, 杨元喜. 抗差方差分量估计在卫星定轨中的应用[J]. 大地测量与地球动力学, 2003, 23(4):40-43. QIN Xianping, YANG Yuanxi. Applications of robust variance component estimation to satellite orbit determination[J]. Journal of Geodesy and Geodynamics, 2003, 23(4):40-43.
[14]	SOTO J, AGUIAR M I V, FLORES-SINTAS A. A fuzzy clustering application to precise orbit determination[J]. Journal of Computational and Applied Mathematics, 2007, 204(1):137-143.
[15]	HEINE K. Potential application of fuzzy methods in geodetic fields[C]//Proceedings of the 1st International Symposium on Robust Statistics and Fuzzy Techniques in Geodesy an GIS. Zurich, Switzerland:[s.n.], 2001.
[16]	ZADEH L A. Fuzzy sets[C]//ZADEH L A, KLIR G J, YUAN Bo. Fuzzy Sets, Fuzzy Logic, and Fuzzy Systems.[S.l.]:World Scientific Publishing Co. Inc., 1996:394-432.
[17]	BELLMAN R, KALABA R, ZADEH L. Abstraction and pattern classification[J]. Journal of Mathematical Analysis and Applications, 1966, 13(1):1-7.
[18]	RUSPINI E H. A new approach to clustering[J]. Information and Control, 1969, 15(1):22-32.
[19]	DUNN J C. A fuzzy relative of the ISODATA process and its use in detecting compact well-separated clusters[J]. Journal of Cybernetics, 1973, 3(3):32-57.
[20]	BEZDEK J C. Pattern recognition with fuzzy objective function algorithms[J]. Advanced Applications in Pattern Recognition, 1987, 22(1171):203-239.
[21]	FLORES-SINTAS A, CADENAS J M, MARTIN F. A local geometrical properties application to fuzzy clustering[J]. Fuzzy Sets and Systems, 1998, 100(1-3):245-256.
[22]	FLORES-SINTAS A, CADENAS J M, MARTIN F. Partition validity and defuzzification[J]. Fuzzy Sets and Systems, 2000, 112(3):433-447.
[23]	HATHAWAY R J, BEZDEK J C. Recent convergence results for the fuzzy c-means clustering algorithms[J]. Journal of Classification, 1988, 5(2):237-247.
[24]	ZHANG Huizhe, CHEN Hong, BAO Lixia. An improved fuzzy c means clustering algorithm and its application in traffic condition recognition[C]//Proceedings of 2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery. Yantai:IEEE, 2010:1608-1612.
[25]	OTSUBO T, MÜLLER H, PAVLIS E C, et al. Rapid response quality control service for the laser ranging tracking network[J]. Journal of Geodesy, 2018(10):1-10. DOI:10.1007/s00190-018-1197-0.

模糊聚类定权法对SLR定轨精度的影响

Effect analysis of the weighting scheme with modified FCM clustering algorithm on precision of SLR orbit determination

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