| 摘要 |
A neural network (16) is used to process raw, uncorrected signals received by a Global Positioning System (GPS) receiver (12) to obtain signal corrections which are used to correct the raw signals and obtain highly accurate position coordinate data. The neural network (16) is trained with a particular GPS receiver (12). Once the neural network (16) is trained, the weight matrices used for the particular GPS receiver (12) may be used in different GPS receivers (12) without requiring training of the different GPS receivers (12).
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