AntiGPS spoofing method for UAV based on LSTM-KF model
A detection method of anti GPS deception of UAV was proposed for the problem that GPS signal of UAV was easy to be interfered and deceived,which combined deep learning and Kalman filter.The dynamic model of UAV flight was predicted from the flight state of UAV by using long short-term memory network...
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| Format: | Article |
| Language: | English |
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POSTS&TELECOM PRESS Co., LTD
2020-10-01
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| Series: | 网络与信息安全学报 |
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| Online Access: | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2020069 |
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| author | Yang SUN Chunjie CAO Junxiao LAI Tianjiao YU |
| author_facet | Yang SUN Chunjie CAO Junxiao LAI Tianjiao YU |
| author_sort | Yang SUN |
| collection | DOAJ |
| description | A detection method of anti GPS deception of UAV was proposed for the problem that GPS signal of UAV was easy to be interfered and deceived,which combined deep learning and Kalman filter.The dynamic model of UAV flight was predicted from the flight state of UAV by using long short-term memory network,and the dynamic adjustment of Kalman filter and dynamic model was used to identify GPS deception.In order to resist the interference of GPS deception signal,this method did not need to increase the hardware overhead of the receiver,and was easy to realize.The experimental results show that the method has higher accuracy and lower false alarm rate for the recognition of GPS signals,and can effectively enhance the UAV's ability to resist GPS deception interference. |
| format | Article |
| id | doaj-art-01958a67fddd4786a85f464dc84f7888 |
| institution | DOAJ |
| issn | 2096-109X |
| language | English |
| publishDate | 2020-10-01 |
| publisher | POSTS&TELECOM PRESS Co., LTD |
| record_format | Article |
| series | 网络与信息安全学报 |
| spelling | doaj-art-01958a67fddd4786a85f464dc84f78882025-08-20T02:42:29ZengPOSTS&TELECOM PRESS Co., LTD网络与信息安全学报2096-109X2020-10-016808859560966AntiGPS spoofing method for UAV based on LSTM-KF modelYang SUNChunjie CAOJunxiao LAITianjiao YUA detection method of anti GPS deception of UAV was proposed for the problem that GPS signal of UAV was easy to be interfered and deceived,which combined deep learning and Kalman filter.The dynamic model of UAV flight was predicted from the flight state of UAV by using long short-term memory network,and the dynamic adjustment of Kalman filter and dynamic model was used to identify GPS deception.In order to resist the interference of GPS deception signal,this method did not need to increase the hardware overhead of the receiver,and was easy to realize.The experimental results show that the method has higher accuracy and lower false alarm rate for the recognition of GPS signals,and can effectively enhance the UAV's ability to resist GPS deception interference.http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2020069UAVGPSanti spoofinglong short-term memory networkKalman filter |
| spellingShingle | Yang SUN Chunjie CAO Junxiao LAI Tianjiao YU AntiGPS spoofing method for UAV based on LSTM-KF model 网络与信息安全学报 UAV GPS anti spoofing long short-term memory network Kalman filter |
| title | AntiGPS spoofing method for UAV based on LSTM-KF model |
| title_full | AntiGPS spoofing method for UAV based on LSTM-KF model |
| title_fullStr | AntiGPS spoofing method for UAV based on LSTM-KF model |
| title_full_unstemmed | AntiGPS spoofing method for UAV based on LSTM-KF model |
| title_short | AntiGPS spoofing method for UAV based on LSTM-KF model |
| title_sort | antigps spoofing method for uav based on lstm kf model |
| topic | UAV GPS anti spoofing long short-term memory network Kalman filter |
| url | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2020069 |
| work_keys_str_mv | AT yangsun antigpsspoofingmethodforuavbasedonlstmkfmodel AT chunjiecao antigpsspoofingmethodforuavbasedonlstmkfmodel AT junxiaolai antigpsspoofingmethodforuavbasedonlstmkfmodel AT tianjiaoyu antigpsspoofingmethodforuavbasedonlstmkfmodel |