Evaluation the static precise point positioning and fixing rate with phase ambiguity resolution using different analysis centers products

The performance of precise point positioning with phase ambiguity resolution (PPP-AR) strongly depends on the quality of analysis centers (ACs) products. Nowadays, many IGS/MGEX ACs provide PPP-AR products. To give a full evaluation of PPP-AR performance with various products, this work comprehensively investigates the positioning performance and AR fixing rate of GPS-only and Galileo-only with a complete set of products using open-source software PRIDE PPP-AR. We analyze six products, including COD0_MGX_FIN, COD0_OPS_FIN, GBM0_MGX_RAP, GRG0_OPS_FIN, WUM0_MGX_RAP, and WUM0_MGX_FIN, from four ACs: CODE, GFZ, CNES, and WHU. Then, 7 days of GPS and Galileo data were collected from 42 globally distributed MGEX stations. The root mean square (RMS) value of GBM0_MGX_RAP product for GPS-only reached about 3 mm, 2 mm, 4 mm, and 6 mm in east, north, up, and 3D components, respectively. The other five products have reached about 2 mm, 2 mm, 4 mm, and 5 mm, respectively. Compared to other products, the narrow-lane (NL) fixing rate of the GBM0_MGX_RAP product is about 20% lower for GPS-only. The Galileo-only positioning using four products (except COD0_MGX_FIN and GBM0_MGX_RAP) reached about 2 mm, 1.9 mm, 5.8 mm, and 6.4 mm in east, north, up, and 3D components, respectively, COD0_MGX_FIN reached 2.4 mm, 2.2 mm, 5.9 mm, and 6.7 mm, respectively. GBM0_MGX_RAP reached about 3.5 mm, 3.0 mm, 8.5 mm, and 9.7 mm, respectively. The wide-lane (WL) and NL fixing rate of Galileo-only showed five products have all exceeded 99%, the GBM0_MGX_RAP product is 97.24% and 92.56%, respectively. Overall, COD0_OPS_FIN, WUM0_MGX_RAP, and WUM0_MGX_FIN products rank first, COD0_MGX_FIN and GRG0_OPS_FIN take the second place, while those with the GBM0_MGX_RAP shows the worse performance.

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Publication Details

Journal
PLoS ONE
Published
2025-05-19
DOI
https://doi.org/10.1371/journal.pone.0322622
Citations
1
Primary Topic
GNSS positioning and interference
Type
article
Field-Weighted Citation Impact
4.99
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article

Evaluation the static precise point positioning and fixing rate with phase ambiguity resolution using different analysis centers products

Xingli Sun, Jinjie Yao, Zhiliang Yang
1 citations
PLoS ONE
GNSS positioning and interference
4.99
article

Evaluation the static precise point positioning and fixing rate with phase ambiguity resolution using different analysis centers products

Xingli Sun, Jinjie Yao, Zhiliang Yang
article en
1 citations

Abstract

The performance of precise point positioning with phase ambiguity resolution (PPP-AR) strongly depends on the quality of analysis centers (ACs) products. Nowadays, many IGS/MGEX ACs provide PPP-AR products. To give a full evaluation of PPP-AR performance with various products, this work comprehensively investigates the positioning performance and AR fixing rate of GPS-only and Galileo-only with a complete set of products using open-source software PRIDE PPP-AR. We analyze six products, including COD0_MGX_FIN, COD0_OPS_FIN, GBM0_MGX_RAP, GRG0_OPS_FIN, WUM0_MGX_RAP, and WUM0_MGX_FIN, from four ACs: CODE, GFZ, CNES, and WHU. Then, 7 days of GPS and Galileo data were collected from 42 globally distributed MGEX stations. The root mean square (RMS) value of GBM0_MGX_RAP product for GPS-only reached about 3 mm, 2 mm, 4 mm, and 6 mm in east, north, up, and 3D components, respectively. The other five products have reached about 2 mm, 2 mm, 4 mm, and 5 mm, respectively. Compared to other products, the narrow-lane (NL) fixing rate of the GBM0_MGX_RAP product is about 20% lower for GPS-only. The Galileo-only positioning using four products (except COD0_MGX_FIN and GBM0_MGX_RAP) reached about 2 mm, 1.9 mm, 5.8 mm, and 6.4 mm in east, north, up, and 3D components, respectively, COD0_MGX_FIN reached 2.4 mm, 2.2 mm, 5.9 mm, and 6.7 mm, respectively. GBM0_MGX_RAP reached about 3.5 mm, 3.0 mm, 8.5 mm, and 9.7 mm, respectively. The wide-lane (WL) and NL fixing rate of Galileo-only showed five products have all exceeded 99%, the GBM0_MGX_RAP product is 97.24% and 92.56%, respectively. Overall, COD0_OPS_FIN, WUM0_MGX_RAP, and WUM0_MGX_FIN products rank first, COD0_MGX_FIN and GRG0_OPS_FIN take the second place, while those with the GBM0_MGX_RAP shows the worse performance.

PLoS ONEVol. 20(5)
North University of China (CN), Shanxi University (CN)
Openalex Percentile: Top 6%
GNSS positioning and interference
4.99
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