Method and system for multicarrier signal tracking based on deep learning and high precision positioning

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United States of America Patent

PATENT NO 12003351
APP PUB NO 20240073065A1
SERIAL NO

18454851

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Abstract

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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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Patent Owner(s)

Patent OwnerAddress
WUHAN UNIVERSITY430072 HUBEI PROVINCE WUHAN CITY WUCHANG DISTRICT OF WUHAN UNIVERSITY LUOJIASHAN WUHAN CITY HUBEI PROVINCE 430072

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Chen, Liang Wuhan, CN 931 8928
Chen, Ruizhi Wuhan, CN 26 54
Liu, Zhaoliang Wuhan, CN 8 0

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