基于FCM算法的BDS三频载波相位组合观测值优化选取

针对传统GNSS载波相位组合观测值选取过程中效率低、工作量大的问题,在对BDS三频载波相位组合观测值的波长标准、电离层延迟标准、观测噪声标准进行误差分析的基础上,以长波长、弱电离层、弱观测噪声标准作为聚类指标,采用模糊C均值聚类算法对BDS三频载波相位组合观测值进行优化分类选取,最后通过矩阵变换法和实测数据对优化组合进行整周模糊度解算,对组合模糊度方差-协方差阵以及历元间模糊度差值进行分析,证明该方法的可行性和可靠性。

Optimization and Selection of BDS Triple-Frequency Carrier Phase Combination Observations Based on Fuzzy C-Means Algorithm

We solve the problem of low efficiency and heavy workload in the selection of traditional GNSS carrier phase combination observations. On the basis of error analysis of the wavelength standard, ionospheric delay standard and observation noise standard of the BDS triple-frequency carrier phase combination observations, with long wavelength, weak ionosphere and weak observation noise standard as the clustering indexes, the fuzzy C-means clustering algorithm is used to optimize the data of the BDS triple-frequency carrier phase combination observations. Then, through the matrix transformation method and measured data, the integer ambiguity of the optimized combination is resolved, and the variance-covariance matrix of the combination ambiguity and the ambiguity difference between each epoch is analyzed, proving the feasibility and reliability of the method.