GNSS spoofing jamming detection based on altimeter assistance
The barometric altimeter can obtain accurate elevation data without being affected by external electromagnetic interference.The use of barometric altimeters to assist the global navigation satellite system(GNSS)in spoofing detection has significant advantages.In order to evaluate the ability of the barometric altimeter in GNSS spoofing detection and improve detection probability,the system error is first modeled and analyzed,and the differential integrated autoregressive moving average(ARIMA)model is used to process the barometric altimeter and GNSS measurement results.Meanwhile,a self-adaptive threshold detection method based on moving variance is proposed by calculating Euclidean distance to construct a data space.The experimental results show that with a false alarm rate of 10 6,the detection rate reaches 92％,and the proposed method can effectively monitor potential spoofing threats on elevation information,which enhances the reliability of the GNSS system.
barometric altimetersatellite navigationaltitude data fusionmoving variancespoofing detection
万方数据
维普
