System for improving average accuracy of signals from global positioning system by using a neural network to obtain signal correction values
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Abstract
A neural network is used to process raw, uncorrected signals received by a Global Positioning System (GPS) receiver to obtain signal corrections which are used to correct the raw signals and obtain highly accurate position coordinate data. The neural network is trained with a particular GPS receiver. Once the neural network is trained, the weight matrices used for the particular GPS receiver may be used in different GPS receivers without requiring training of the different GPS receivers.
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Current AssigneeSurender Kumar Gupta
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Original AssigneeSurender Kumar Gupta
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InventorsGupta, Surender Kumar
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Primary Examiner(s)ZANELLI, MICHAEL J
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Application NumberUS08/760,889Time in Patent Office571 DaysField of Search701/214, 701/213, 342/357, 342/457, 395/21, 395/902US Class Current701/214CPC Class CodesG01S 19/40 Correcting position, veloci...
