GNSS Spoofing Detection Using Q Channel Energy
Spoofing interference poses a significant challenge to the Global Navigation Satellite System (GNSS). To effectively combat intermediate spoofing signals, this paper presents an enhanced spoofing detection method based on abnormal energy of the quadrature (Q) channel correlators. The detailed princi...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-11-01
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| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/15/22/5337 |
| _version_ | 1827638809519456256 |
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| author | Jiaqi Wang Xiaomei Tang Pengcheng Ma Jian Wu Chunjiang Ma Guangfu Sun |
| author_facet | Jiaqi Wang Xiaomei Tang Pengcheng Ma Jian Wu Chunjiang Ma Guangfu Sun |
| author_sort | Jiaqi Wang |
| collection | DOAJ |
| description | Spoofing interference poses a significant challenge to the Global Navigation Satellite System (GNSS). To effectively combat intermediate spoofing signals, this paper presents an enhanced spoofing detection method based on abnormal energy of the quadrature (Q) channel correlators. The detailed principle of this detection method is introduced based on the received signal model under spoofing attack. The normalization parameter used in this method was the estimation of the noise floor. The performance of the proposed Q energy detector is validated through simulations, the Texas Spoofing Test Battery dataset and field tests. The results demonstrate that the proposed detector significantly enhances detection performance compared to signal quality monitoring methods, particularly in overpowered scenarios and dynamic scenarios. By increasing the detection probability in the presence of spoofing signals and decreasing the false alarm probability in the absence of spoofing signals, the proposed detector can better meet the requirements of practical applications. |
| first_indexed | 2024-03-09T16:29:02Z |
| format | Article |
| id | doaj.art-0181f353036347b0a6a65c0901249103 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-09T16:29:02Z |
| publishDate | 2023-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-0181f353036347b0a6a65c09012491032023-11-24T15:04:28ZengMDPI AGRemote Sensing2072-42922023-11-011522533710.3390/rs15225337GNSS Spoofing Detection Using Q Channel EnergyJiaqi Wang0Xiaomei Tang1Pengcheng Ma2Jian Wu3Chunjiang Ma4Guangfu Sun5College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, ChinaCollege of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, ChinaCollege of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, ChinaCollege of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, ChinaCollege of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, ChinaCollege of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, ChinaSpoofing interference poses a significant challenge to the Global Navigation Satellite System (GNSS). To effectively combat intermediate spoofing signals, this paper presents an enhanced spoofing detection method based on abnormal energy of the quadrature (Q) channel correlators. The detailed principle of this detection method is introduced based on the received signal model under spoofing attack. The normalization parameter used in this method was the estimation of the noise floor. The performance of the proposed Q energy detector is validated through simulations, the Texas Spoofing Test Battery dataset and field tests. The results demonstrate that the proposed detector significantly enhances detection performance compared to signal quality monitoring methods, particularly in overpowered scenarios and dynamic scenarios. By increasing the detection probability in the presence of spoofing signals and decreasing the false alarm probability in the absence of spoofing signals, the proposed detector can better meet the requirements of practical applications.https://www.mdpi.com/2072-4292/15/22/5337spoofing detectionsignal quality monitoringQ channel energyspoofing interference |
| spellingShingle | Jiaqi Wang Xiaomei Tang Pengcheng Ma Jian Wu Chunjiang Ma Guangfu Sun GNSS Spoofing Detection Using Q Channel Energy Remote Sensing spoofing detection signal quality monitoring Q channel energy spoofing interference |
| title | GNSS Spoofing Detection Using Q Channel Energy |
| title_full | GNSS Spoofing Detection Using Q Channel Energy |
| title_fullStr | GNSS Spoofing Detection Using Q Channel Energy |
| title_full_unstemmed | GNSS Spoofing Detection Using Q Channel Energy |
| title_short | GNSS Spoofing Detection Using Q Channel Energy |
| title_sort | gnss spoofing detection using q channel energy |
| topic | spoofing detection signal quality monitoring Q channel energy spoofing interference |
| url | https://www.mdpi.com/2072-4292/15/22/5337 |
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