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Rapid ambiguity resolution Algorithm for Multi-constellation between Reference Stations Based on ambiguity Tight Constraint

Rapid Ambiguity Resolution Algorithm for Multi-constellation...

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第九届中国卫星导航学术年会

作者： Ruicheng Zhang Chengfa Gao Shuguo Pan Zhiyue Yan Qing Zhao School of Transportation Southeast University School of Instrument Science and Engineering Southeast University

The development of multi-GNSS remarkably increased the number of available satellites, but how to solve the multi-dimensional ambiguity parameters quickly and accurately in network RTK technology is still an issue full of perplexity and significance. To ensure the virtual station have more available satellites under the occlusion environment, a fast ambiguity resolution method for base station based on ambiguity tight constraint was proposed in this paper. Firstly, the optimal subset of ambiguity is selected by partial ambiguity resolution(par) strategy, and then impose strong constraints on the ambiguities of these satellites. Finally, update the filter equation and assist in fixing the ambiguity of other satellites. The real measured baseline data which contain GPS, BDS and GLONASS from Tianjin CORS and Curtin University was used in the experiments, and the results illustrated that this method could significantly shorten the initialization time of ambiguity between base stations, accelerate the convergence speed of newly-arisen satellites, and increase the number of available satellites of RTK virtual observations(especially low-elevation angle satellites), that providing a reliable guarantee for high-precision positioning in the occlusion environment, such as the roads in cities.

关键词： Rapid ambiguity resolution Multi-GNSS Reference Station Tight Constraint partial ambiguity resolution（par）

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A Tightly Combined GPS/Galileo Model for Long Baseline RTK Positioning with partial ambiguity resolution

A Tightly Combined GPS/Galileo Model for Long Baseline RTK P...

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第九届中国卫星导航学术年会

作者： Qing Zhao Chengfa Gao Shuguo Pan Ruicheng Zhang Liwei Liu School of Transportation Southeast University School of Instrument Science and Engineering Southeast University

Knowledge of differential inter-system biases(DISBs) is critical to integrate observations from mixed GNSS. If the corresponding DISB could be calibrated in advance, only one pivot satellite is sufficient for ambiguity resolution on overlapping frequencies, which is the so-called tight combining(TC) strategy. Considering that GPS and Galileo transmit signals on two identical frequencies(e.g. L1/E1 and L5/E5 a), a tightly combined GPS/Galileo RTK positioning model is proposed in this paper. Traditional DD model has been slightly adjusted to avoid the hand-over problem of reference satellites. The estimation of code and fractional part of phase DISB is archived through zero and ultra-short baselines. Three long baselines were selected to verify the proposed model with DISB calibrated in advance. Moreover, to get better AR performance, a simple but robust procedure of par, where the satellite elevation, number of consecutive tracking, success rate and ratio test are all combined to determine the subset of ambiguity, is adopted in the long baseline experiments. Results shows that the code and fractional part of phase DISB is rather stable. The TC strategy do not significantly improve the value of ratio, but shorten the convergence time to reach the 100% success rate. Compared with results of loose combining(LC) strategy, time to first fix(TTFF) is further reduced by 54.3%, 72.9%, 69.0% respectively under TC strategy corresponding to different long baselines. Besides, TC strategy could slightly improve the fixing rate of epochs. In terms of accuracy, the precision in up direction is worse than that in north and east direction. Once the ambiguity is fixed correctly, both LC and TC strategy can achieve centimeter-level positioning accuracy.

关键词： GPS Galileo Differential inter-system bias（DISB） long baseline RTK partial ambiguity resolution（par）

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