Abstract

Global navigation satellite system is indispensable to provide positioning, navigation, and timing information for pedestrians and vehicles in location-based services. However, tree canopies, although considered as valuable city infrastructures in urban areas, adversely degrade the accuracy of global navigation satellite system positioning as they attenuate the satellite signals. This article proposes a bagging tree-based global navigation satellite system pseudorange error prediction algorithm, by considering two variables, including carrier to noise C/ N0 and elevation angle θe to improve the global navigation satellite system positioning accuracy in the foliage area. The positioning accuracy improvement is then obtained by applying the predicted pseudorange error corrections. The experimental results shows that as the stationary character of the geostationary orbit satellites, the improvement of the prediction accuracy of the BeiDou navigation satellite system solution (85.42% in light foliage and 83.99% in heavy foliage) is much higher than that of the global positioning system solution (70.77% in light foliage and 73.61% in heavy foliage). The positioning error values in east, north, and up coordinates are improved by the proposed algorithm, especially a significant decrease in up direction. Moreover, the improvement rate of the three-dimensional root mean square error of positioning accuracy in light foliage area test is 86% for BeiDou navigation satellite system/global positioning system combination solutions, while the corresponding improvement rate is 82% for the heavy foliage area test.

Highlights

  • Nowadays, with the rapid development of intelligent and modernized urbanization, severe environmental issues like overcrowding, air pollution, climate change, and ecocide are emerging in the social and economic development of cities.[1]

  • The position dilution of precision (PDOP) and horizontal dilution of precision (HDOP) of BeiDou navigation satellite system (BDS)-only and BDS/global positioning system (GPS) combination observations are shown in Figures 7 and 8

  • It can be seen from the results that both the PDOP and HDOP values of BDS + GPS are lower than that of BDS-only

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Summary

Introduction

With the rapid development of intelligent and modernized urbanization, severe environmental issues like overcrowding, air pollution, climate change, and ecocide are emerging in the social and economic development of cities.[1]. To improve the positioning performance in foliage canyons, we have developed a bagging treebased GNSS positioning algorithm with a combined strategy of pseudorange error prediction and correction. A bagging tree-based pseudorange error prediction and correction algorithm is proposed by using the signal strength and elevation angle as the inputs.

Results
Conclusion
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