| 引用本文: | 孟凡军,李树军,潘宗鹏,等.加权模糊C均值聚类算法实现BDS三频组合观测值优选.[J].国防科技大学学报,2019,41(3):92-98.[点击复制] |
| MENG Fanjun,LI Shujun,PAN Zongpeng,et al.Optimization and selection of BDS triple-frequency combination observations based on a weighted fuzzy C-means algorithm[J].Journal of National University of Defense Technology,2019,41(3):92-98[点击复制] |
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| 加权模糊C均值聚类算法实现BDS三频组合观测值优选 |
| 孟凡军1, 李树军1, 潘宗鹏2, 孙亦成1, 李忠盼2 |
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(1. 海军大连舰艇学院 军事海洋与测绘系， 辽宁 大连 116018;2. 信息工程大学 地理空间信息学院， 河南 郑州 450001)
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| 摘要: |
| 在对BDS三频载波相位组合观测值进行误差分析的基础上，确定了优选载波相位线性组合系数的筛选标准。针对传统聚类算法在高维多频混合数据集分类中存在的不足，采用一种基于加权的模糊C均值聚类算法，通过对同一维度在不同簇上赋予不同的权重值，对传统遍历搜索法所获得的部分BDS三频载波相位组合观测值进行了优化分类选取，有效解决了传统全球导航卫星系统载波相位观测值选取方法效率低的问题，同时为多系统多频数据组合观测值系数的优化选取提供了一种新的思路。对分类结果进行分析，确定了各类组合观测量的适用范围，并结合实测数据，利用无几何层叠模糊度解算方法对优选组合进行了整周模糊度的解算，结果验证了该方法的可行性。 |
| 关键词: 三频载波相位 混合数据 组合观测值优化 加权模糊C均值聚类算法 无几何CIR算法 整周模糊度 |
| DOI：10.11887/j.cn.201903015 |
| 投稿日期：2018-03-24 |
| 基金项目:国家自然科学基金资助项目（41571441） |
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| Optimization and selection of BDS triple-frequency combination observations based on a weighted fuzzy C-means algorithm |
| MENG Fanjun1, LI Shujun1, PAN Zongpeng2, SUN Yicheng1, LI Zhongpan2 |
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(1． Department of Military Oceanography and Hydrography & Cartography， Dalian Naval Academy, Dalian 116018, China;2. Institute of Surveying and Mapping, Information Engineering University, Zhengzhou 450001, China)
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| Abstract: |
| Based on the error analysis of the BDS(BeiDou navigation satellite system) triple-frequency carrier phase observations, the screening criteria for the optimal carrier phase linear combination coefficients was determined. For high-dimensional multi frequency mixed data sets, a weighted fuzzy C-means clustering algorithm was used to assign partial BDS triple-frequency carrier phase observations obtained by traditional ergodic search methods through assigning different weight values to different clusters on the same dimension. The combined observations were optimized for classification and selection, which effectively solved the problem of low efficiency of the traditional GNSS(global navigation satellite system) carrier phase observations selection method, and provided an idea for the optimal selection of the combined observation value coefficients of multi-system multi-frequency data. Finally, the classification results were analyzed, and the applicable range of all kinds of combined observations was determined. The integer ambiguity of the optimal combination is calculated by using the geometric-freed CIR(cascading integer resolution) algorithm and the measured data, and the feasibility and reliability of the method are proved. |
| Keywords: triple-frequency carrier phase mixed data combination observations optimization a weighted fuzzy C-means clustering algorithm geometric-freed cascading integer resolution algorithm integer ambiguity |
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