Abstract
The multipath bias is a non-ignorable factor that limits the BeiDou navigation satellite system (BDS) to improve positioning accuracy. Due to the relatively stationary geometry, the geostationary earth orbit (GEO) satellites not only have poor orbit accuracy, but also the multipath bias is difficult to eliminate by the existing approaches. In this paper, a new multipath error mitigation algorithm based on the wavelet and 2-fold cross validation methods are proposed, which can adaptive select the optimal decomposition level. The comparison of the proposed technique with the existing technique has been carried out with the simulated data series. In addition, a real date experiment shows that 17% to 57% improvement can be achieved in standard deviation compared with the raw multipath error.
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Acknowledgments
This work was supported by the National Natural Science Foundation of China (contract no. 61301094) and BeiDou Special Fund (contract no. GFZX0301040115).
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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Wu, P., Lian, B., Dan, Z., Yang, Q. (2018). A Novel Wavelet Denoising Algorithm Based on 2-Fold Cross Validation for BDS GEO Code Multipath Bias. In: Li, B., Shu, L., Zeng, D. (eds) Communications and Networking. ChinaCom 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 236. Springer, Cham. https://doi.org/10.1007/978-3-319-78130-3_30
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DOI: https://doi.org/10.1007/978-3-319-78130-3_30
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