The application of improved CIR algorithm in solving BDS long baseline ambiguity

doi:10.13474/j.cnki.11-2246.2020.0322

Abstract

Abstract: Under the condition of long baseline, the ionospheric delay and tropospheric delay cannot eliminate well due to the weak spatial correlation between stations, which cause the success rate of CIR method in solving ambiguity under long baseline condition is low. This paper selects the combination of long wavelength and weak ionosphere to improve the combination coefficient of wide lane, uses the combination (-1, -5, 6) instead of the traditional wide lane combination(0, -1, 1), and the weak ionosphere geometric phase combination (4, -5, 2) instead of the traditional narrow lane combination (0, 0, 1), adopts the linear combination of the multi frequency pseudorange observations and the wide lane phase observations to eliminate the first order term of ionospheric delay. Through the analysis of measured data, the algorithm proposed in this paper can effectively solve the fuzzy degree of ultra-wide lane and wide lane, and improve the success rate of ambiguity resolution.

Key words: CIR, long baseline, ambiguity resolution, phase smoothing, ionospheric delay, tropospheric delay

CLC Number:

P228

LIU Wei, LIU Guochao, ZHENG Xiaozhan, ZHANG Qinghua. The application of improved CIR algorithm in solving BDS long baseline ambiguity[J]. Bulletin of Surveying and Mapping, 2020, 0(10): 74-78.

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