Global positioning system spoofing detection based on Support Vector Machines

Author:

Zhu Xuefen1ORCID,Hua Teng1ORCID,Yang Fan2,Tu Gangyi3,Chen Xiyuan1

Affiliation:

1. School of Instrument Science and Engineering Southeast University Nanjing China

2. Shanghai Aerospace Control Technology Institute Shanghai China

3. School of Electronic and Information Engineering Nanjing University of Information Science and Technology Nanjing China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering

Reference24 articles.

1. Comparison on different tracking configurations in GNSS receivers;Tang X.‐H.;J. Chin. Inert. Technol.,2018

2. A GPS L2C CL code direct acquisition algorithm based on folding technology;Zhu X.‐F.;J. Chin. Inert. Technol.,2017

3. GNSS vulnerability network risk assessment and alleviation strategies considering efficiency cost;Chen M.‐L.;J. Aeronaut. Astronaut. Aviat.,2018

4. A SVM based GNSS performance assessment with reliable vulnerability degree model;Chen Y.‐K.;J. Aeronaut. Astronaut. Aviat.,2018

5. One‐dimensional traversal receiver autonomous integrity monitoring method based on maximum likelihood estimation for GNSS anti‐spoofing applications

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Noise-Like Features-Assisted GNSS Spoofing Detection Based on Convolutional Autoencoder;IEEE Sensors Journal;2023-10-15

2. The GNSS Spoofing Detection Method Based on AdaBoost;2023 6th International Symposium on Autonomous Systems (ISAS);2023-06-23

3. GNSS Spoofing Detection Based on Abnormal Receiver Noise and Carrier-to-Noise Ratio Metric;2022 IEEE 22nd International Conference on Communication Technology (ICCT);2022-11-11

4. GNSS Multiparameter Spoofing Detection Method Based on Support Vector Machine;IEEE Sensors Journal;2022-09-15

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