BDS三频信号最优组合的模糊聚类分析法

doi:10.11947/j.AGCS.2020.20190432

测绘学报 ›› 2020, Vol. 49 ›› Issue (8): 974-982.doi: 10.11947/j.AGCS.2020.20190432

BDS三频信号最优组合的模糊聚类分析法

李毓照^1,2,3, 闫浩文^1,2,3, 王世杰^1,2,3, 杨维芳^1,2,3

1. 兰州交通大学测绘与地理信息学院, 甘肃兰州 730070;
2. 地理国情监测技术应用国家地方联合工程研究中心, 甘肃兰州 730070;
3. 甘肃省地理国情监测工程实验室, 甘肃兰州 730070

收稿日期:2019-10-16 修回日期:2020-02-17 发布日期:2020-08-25
通讯作者: 闫浩文 E-mail:yhw0118@qq.com
作者简介:李毓照(1989-),男,博士生,研究方向为多频多模GNSS高精度定位技术。E-mail:chdlyzhao@163.com
基金资助:
国家自然科学基金（41861061）；国家重点研发计划（2016YFB0501802）；兰州交通大学优秀平台（201806）

Fuzzy clustering analysis method for optimal combinations of BDS triple-frequency signals

LI Yuzhao^1,2,3, YAN Haowen^1,2,3, WANG Shijie^1,2,3, YNAG Weifang^1,2,3

1. Faculty of Geomatics, Lanzhou Jiaotong University, Lanzhou 730070, China;
2. National-Local Joint Engineering Research Center of Technologies and Applications for National Geographic State Monitoring, Lanzhou 730070, China;
3. Gansu Provincial Engineering Laboratory for National Geographic State Monitoring, Lanzhou 730070, China

Received:2019-10-16 Revised:2020-02-17 Published:2020-08-25
Supported by:
The National Natural Science Foundation of China(No. 41861061);The National Key Research and Development Program of China(No. 2016YFB0501802);The Lanzhou Jiaotong University Excellent Platform(LZJTU EP) (No. 201806)

摘要/Abstract

摘要： 针对如何优选出三频BDS最优载波相位线性组合观测量的问题，基于三频GNSS载波相位组合观测量理论，本文提出最优组合观测量选取的模糊聚类分析法。首先构建满足超宽巷组合和窄巷组合条件，且具有不同巷数、电离层数及噪声放大因子的三频BDS组合观测量，并假定各参数均为最优值的理论最优组合观测量；然后对满足条件的超宽巷组合和窄巷组合用模糊聚类分析法进行聚类排序；最后根据各组合观测量与假定的最优组合观测量聚为一类的先后顺序，确定三频BDS最优组合观测量的选取顺序。结果表明：模糊聚类分析法通过组合观测量的聚类排序，实现了最优组合观测量的筛选。无几何TCAR算法也验证了模糊聚类分析结果的正确性。

关键词: 北斗卫星导航系统, 三频载波相位, 模糊聚类分析, 最优组合

Abstract: Aiming at how to select the optimal carrier-phase linear combinations for triple-frequency BDS, a fuzzy clustering analysis method based on the theory of triple-frequency GNSS carrier phase combination is proposed. Firstly, the combination which satisfies the conditions of extra-wide-lane and narrow-lane combination and has different lane-number, ion-number and noise amplification factor is constructed, and the theoretical optimal combination with optimal parameters is assumed. Then, the extra-wide-lane combinations and narrow-lane combinations satisfying the conditions has been clustered and sorted by fuzzy clustering analysis method. Finally, according to the clustered sequence of each combination with the assumed theoretical optimal combination, the order of selection for triple-frequency BDS optimal combinations is determined. The results show that the fuzzy clustering analysis method achieves the selection of the optimal combined observations by clustering the combined observations.The results of geometry-free TCAR algorithm also verify the correctness of fuzzy clustering analysis results.

Key words: BDS, triple-frequency carrier phase, fuzzy cluster analysis, optimal combination

中图分类号:

P228

李毓照, 闫浩文, 王世杰, 杨维芳. BDS三频信号最优组合的模糊聚类分析法[J]. 测绘学报, 2020, 49(8): 974-982.

LI Yuzhao, YAN Haowen, WANG Shijie, YNAG Weifang. Fuzzy clustering analysis method for optimal combinations of BDS triple-frequency signals[J]. Acta Geodaetica et Cartographica Sinica, 2020, 49(8): 974-982.

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BDS三频信号最优组合的模糊聚类分析法

Fuzzy clustering analysis method for optimal combinations of BDS triple-frequency signals

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