Selection of Areas for Effective GNSS Spoofing Attacks to a Vehicle-mounted MSF System based on Scenario Classification Models-Reference-Cited by-同舟云学术

Selection of Areas for Effective GNSS Spoofing Attacks to a Vehicle-mounted MSF System based on Scenario Classification Models

Published:2023 Issue: Volume: Page:1-11
ISSN:0018-9545
Container-title:IEEE Transactions on Vehicular Technology
language:
Short-container-title:IEEE Trans. Veh. Technol.

Author:

Chang Jiachong¹^ORCID,Huang Feng²^ORCID,Zhang Liang³^ORCID,Xu Dingjie¹^ORCID,Hsu Li-Ta²^ORCID

Affiliation:

1. School of Instrumentation Science and Engineering, Harbin Institute of Technology, Harbin, China

2. Department of Aeronautical and Aviation Engineering, Hong Kong Polytechnic University, Hong Kong

3. School of Instrument Science and Engineering, the Key Laboratory of Micro-Inertial Instrument and Advanced Navigation Technology, Ministry of Education, Southeast University, Nanjing, China

Funder

University Grants Committee of Hong Kong

scheme Research Impact Fund on the project

Reliable Multiagent Collaborative Global Navigation Satellite System Positioning for Intelligent Transportation Systems

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/25/4356907/10135153.pdf?arnumber=10135153

Reference60 articles.

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5. Feasibility Study of UAV-Assisted Anti-Jamming Positioning

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