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

doi:10.11947/j.AGCS.2020.20190432

Abstract

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

CLC Number:

P228

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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