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High-precision GPS measurement method without geographical restrictions using crowd-sensing technology

2021; National University of Colombia; Volume: 24; Issue: 4 Linguagem: Inglês

10.15446/esrj.v24n4.92151

2339-3459

Yunxiang Zhang, Bin Wang, Lei Zhang,

Traffic Prediction and Management Techniques

In order to improve the flexibility of GPS measurement, a high-precision GPS measurement method that is not restricted by the geographical location under crowd-sensing technology was proposed. The performance of the crowdsensing network was improved through a regular hexagon-based crowd-smart big data sensing network deployment mechanism. The GPS /SINS/DR fast and high-precision combined measurement methods were used to achieve high-precision measurement without geographical restrictions. It has been verified that the proposed method in this paper has much better stability in the deployment strategy of a regular hexagon than that of the square. The proposed method can achieve fast acquisition of satellite signals and high-precision positioning, and its measurement accuracy in the low-latitude city and high-latitude city is higher than the online measurement method based on Google Earth, indicating that it has significant application value.