Study on GNSS Spoofing Interference Detection Method in Urban Multipath Environment Based on CNN and Clustering Model-Reference-Cited by-同舟云学术

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Study on GNSS Spoofing Interference Detection Method in Urban Multipath Environment Based on CNN and Clustering Model

Published:2023-11-10 Issue: Volume: Page:1-3
ISSN:
Container-title:2023 Cross Strait Radio Science and Wireless Technology Conference (CSRSWTC)
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Author:

Ma Xuechun¹,Han Chao¹,Jin Ruimin²,Wang Dandan¹,Bai Peirui¹,Zhen Weimin²

Affiliation:

1. College of Electronic and Information Engineering, Shandong University of Science and Technology

2. China Research Institute of Radiowave Propagation,Qingdao,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10426787/10426807/10427220.pdf?arnumber=10427220

Reference8 articles.

1. Convolutional Neural Network for Multipath Detection in GNSS Receivers

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

3. A Machine Learning based GNSS Signal Classification

4. An approach to sport activities recognition based on an inertial sensor and deep learning

5. CNN-based Image Processing algorithm for autonomous optical navigation of Hera mission to the binary asteroid Didymos

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1. LJCD-Net: Cross-Domain Jamming Generalization Diagnostic Network Based on Deep Adversarial Transfer;Sensors;2024-05-21

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