A Machine Learning based GNSS Signal Classification

Author:

Yakkati Rakesh Reddy1,Pardhasaradhi Bethi2,Zhou Jing3,Cenkeramaddi Linga Reddy4

Affiliation:

1. Birla Institute of Technology(BIT)-Mesra,Department of Mathematics,Ranchi,India

2. Continental Automotive Components (India) Pvt Ltd,Department of ADAS,Bangalore,India

3. University of Agder,Department of Engineering sciences,Grimstad,Norway,4879

4. University of Agder,Department of ICT,Grimstad,Norway,4879

Publisher

IEEE

Reference17 articles.

1. Use and Validation of Supervised Machine Learning Approach for Detection of GNSS Signal Spoofing

2. Ma-chine learning based screening and measurement to measure-ment association for navigation in gnss spoofing environment;pardhasaradhi;IEEE Sensors Journal,2022

3. Deep Neural Network Approach to Detect GNSS Spoofing Attacks

4. SCER Spoofing Attacks on the Galileo Open Service and Machine Learning Techniques for End-User Protection

5. GPS spoofing detection based on decision fusion with a K-out-of-N rule;sun;Int J Netw Secur,2017

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. Machine Learning in GNSS Multipath/NLOS Mitigation: Review and Benchmark;IEEE Aerospace and Electronic Systems Magazine;2024-09

2. Recent Advances on Jamming and Spoofing Detection in GNSS;Sensors;2024-06-28

3. Machine Learning-Based Detection of Spoofing Attacks in GNSS: A Study Using TEXBAT Dataset;2024 14th International Conference on Electrical Engineering (ICEENG);2024-05-21

4. Study on GNSS Spoofing Interference Detection Method in Urban Multipath Environment Based on CNN and Clustering Model;2023 Cross Strait Radio Science and Wireless Technology Conference (CSRSWTC);2023-11-10

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