Abstract
Multipath effect of signals is one of the main causes of the global positioning system positioning error. Although the differential technology can improve the positioning accuracy of navigation system. However, due to the reference station and the user’s geographical location is different; Differential GPS (DGPS) system still does not eliminate multipath effects of the satellite signal. The conventional narrow correlator method can reduce positioning error. But it assumes that the bandwidth of channel is unlimited. It can not be met in practice. That is its limitations. In this paper, we consider the characteristics of GPS signal model and the multipath effect In GPS system. We introduce a least-squares iterative multipath super-resolution (LIMS) delay estimation algorithm and propose a multipath signal delay estimation algorithm based on correlation model on this basis. The algorithm takes the correlation output of received signal correlates and the local C/A code as the model, estimates the direct signal and the multipath signal delay accurately in the condition of signal delay is unknown. As can be seen from the simulation results, the multipath interference suppression algorithm we propose outperforms the traditional narrow correlator method and LIMS algorithms.
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© 2014 Springer-Verlag Berlin Heidelberg
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Li, J., Wang, W., Lu, D., Wang, L., Wu, R. (2014). A Correlate-Based GPS Multipath Time Delay Estimation Algorithm. In: Sun, J., Jiao, W., Wu, H., Lu, M. (eds) China Satellite Navigation Conference (CSNC) 2014 Proceedings: Volume I. Lecture Notes in Electrical Engineering, vol 303. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54737-9_6
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DOI: https://doi.org/10.1007/978-3-642-54737-9_6
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