Work

Evaluation of a Signal Anomaly Classification Method for GNSS Spoofing Detection by Using GNSS Observation Data

Year: 2025

Type: conference-paper

Abstract: This paper proposes a real-time GNSS spoofing detection method using a simplified signal anomaly classification approach. It utilizes readily available parameters from observation data, focusing on signal strength and satellite elevation information. The method employs statistical measures and the IQR method to evaluate signal characteristics, establishing a classification flow from "Definite Spoofing" to "Good Situation". Spoofing experiments, including non-coherent and coherent attacks, were conducted to evaluate the method's performance. This approach aims to provide a simple, effective, and widely implementable method for enhancing GNSS security across various applications.

Source: Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications

DOI: 10.5687/sss.2025.133

Authors: Naoki Yasugi, Toshiaki Tsujii

Institution: Osaka Metropolitan University

Language: English

Topic: GNSS positioning and interference

Subfield: Aerospace Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: diamond

Funders: Soochow University, Japan Society for the Promotion of Science, Japan Aerospace Exploration Agency

Award: Highly reliable GNSS/INS navigation with the ability to detect and suppress interfering signals in urban areas