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公开(公告)号：US12003351B2
公开(公告)日：2024-06-04
申请号：US18454851
申请日：2023-08-24
Applicant: Wuhan University
Inventor： Liang Chen , Zhaoliang Liu , Ruizhi Chen
CPC classification number: H04L25/0254 , H04L5/023
Abstract: The present invention discloses a method and system for multicarrier signal tracking based on deep learning and high precision positioning. Using the data characteristics of S-curve, and using S-curve which contains multipath signals as feature data for training deep learning networks under different signal-to-noise ratios. The delay regression results of receiving signal can be directly obtained by the S-curve of real-time receiving signal and the pre-trained network. The motivation of this method is to fully utilize the advantages of deep learning networks in accurately regressing complex problems with a large amount of data, fundamentally solving the impact of multipath signals on the delay estimation of the main path signal in traditional software defined receivers, extracting the corresponding relationship between the delay of main path and S-curve under the influence of different signal-to-noise ratios and different multipath signals.
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公开(公告)号：US10962651B2
公开(公告)日：2021-03-30
申请号：US16094417
申请日：2017-10-30
Applicant: Wuhan University
Inventor： Jingbin Liu , Ruizhi Chen , Deren Li , Liang Chen , Lei Wang , Shulun Liu
Abstract: The invention discloses an ionospheric delay correction method for LEO satellite augmented navigation systems for GNSS. According to the method, GNSS satellite navigation signals received by LEO GNSS receiver loads are used for providing ionospheric information for navigation augmentation for earth surface users. In the method, as a set of mobile navigation augmentation reference stations, LEO satellites continuously observe the global ionosphere to generate ionospheric delay correction information, and the ionospheric delay correction information is sent to the earth surface users to obtain augmented navigation performance. By adoption of the method, ionospheric delay correction data covering the whole world instead of covering certain areas and particularly ionospheric delay correction data covering the vast marine areas are obtained; ionospheric gradient data are provided; and compared with traditional approaches, ionospheric delay correction accuracy is higher than that of traditional approaches; ionospheric activities and events are monitored in orbit to provide complete ionospheric delay correction information.
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