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- W4297029904 abstract "An GPS prediction anti-jamming method of civil aviation Airborne based on time series model is proposed in this paper. The position information from GPS is firstly collected and recorded, and a time series model is established through neural network to predict the GPS position information. The predicted position and the real position are compared to identify the interference of GPS signal. Then correct the interference data to realize GPS anti-interference positioning. The simulation results show that the proposed method can predict the position with high accuracy within two degrees." @default.
- W4297029904 created "2022-09-25" @default.
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- W4297029904 date "2022-01-01" @default.
- W4297029904 modified "2023-09-27" @default.
- W4297029904 title "A Research on GPS Prediction Anti-jamming Method of Civil Aviation Airborne Based on Time Series Model" @default.
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- W4297029904 doi "https://doi.org/10.1007/978-981-19-6226-4_5" @default.
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