In the urban canyon environment, the integer ambiguity is hard to be fixed completely mainly because of the multipath effects, hence partial ambiguity resolution (PAR) is developed. This paper systematically introduces a new model-driven PAR method considering elevation and C/N0. Firstly, the theory of partial ambiguity resolution, the elevation-C/N0 function, and the proposed elevation-C/N0 PAR method are deduced in detail. Secondly, the proposed elevation-C/N0 method is applied in the static and dynamic experiments. The performances of the proposed method are compared with the full ambiguity resolution method, traditional elevation-dependent method, and C/N0-dependent method. Comparisons indicate that the proposed elevation-C/N0 method outperforms other methods. The results show that no matter in the urban static experiment or the dynamic experiment, the ambiguity resolution and positioning solutions can be improved.
In the urban canyon environment, the integer ambiguity is hard to be fixed completely mainly because of the multipath effects, hence partial ambiguity resolution (PAR) is developed. This paper systematically introduces a new model-driven PAR method considering elevation and C/N0. Firstly, the theory of partial ambiguity resolution, the elevation-C/N0 function, and the proposed elevation-C/N0 PAR method are deduced in detail. Secondly, the proposed elevation-C/N0 method is applied in the static and dynamic experiments. The performances of the proposed method are compared with the full ambiguity resolution method, traditional elevation-dependent method, and C/N0-dependent method. Comparisons indicate that the proposed elevation-C/N0 method outperforms other methods. The results show that no matter in the urban static experiment or the dynamic experiment, the ambiguity resolution and positioning solutions can be improved.