Volume 22, Issue 3 (September 2026)                   IJEEE 2026, 22(3): 4069-4069 | Back to browse issues page

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Moazedi M, Mosavi M R, Martín De Andrés D. An Anti-spoofing Algorithm using a Kalman Filter based ARAIM Algorithm. IJEEE 2026; 22 (3) :4069-4069
URL: http://ijeee.iust.ac.ir/article-1-4069-en.html
An Anti-spoofing Algorithm using a Kalman Filter based ARAIM Algorithm
Maryam Moazedi , Mohammad Reza Mosavi , Diego Martín De Andrés
Abstract:   (122 Views)
The Receiver Autonomous Integrity Monitoring (RAIM) method uses additional information to detect and remove spoofing signals by analyzing pseudo-range measurements. Therefore, assuming that spoofing signals are errors for the valid signal, RAIM can be a practical method that does not impose expensive hardware to the receiver. Typically, RAIM operates under the assumption that simultaneous multi-satellite errors are highly unlikely. For example, GPS satellite errors occur no more than three times per year. Some enhanced RAIM methods have been proposed in recent years that employ additional measurements, such as Doppler shift measurements, time-differential carrier phase measurements, and so on. Since simultaneous multiple fake satellites are common in spoofing cases, basic RAIM cannot counter these types of signals, and for eliminating more than one spoofing or error signal requires additional information, such as measurements on other frequencies or satellite systems, which increases the complexity of execution. In this paper, an anti-spoofing method based on Advanced RAIM (ARAIM) has been proposed with a novel slope-based RAIM availability assessment method. Simulation results on several spoofing data sets indicate the definitive success of the proposed methods in detecting and mitigating spoofing error, with a detection success rate of over 79% using the statistical method and over 87% using the Kalman filter method.
Keywords: Anti-spoofing, GPS, Kalman Filter, RAIM.
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Type of Study: Research Paper | Subject: Signal Processing
Received: 2025/07/30 | Revised: 2026/05/10 | Accepted: 2025/12/03
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© 2022 by the authors. Licensee IUST, Tehran, Iran. This is an open access journal distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license.