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2023
Journal Article
Title
Enhanced Spatial Spoofing Detection with and without Direction of Arrival Estimation
Abstract
Spoofing, the transmission of false (GNSS) signals, threatens receivers. The first step in dealing with spoofers is to detect the attack. Once a spoofing attack is detected, spatial detection methods using an array of antennas can additionally mitigate spoofing through spatial nulling. This article presents a spatial spoofing detection approach using the estimated (ASVs) from (DOA) estimation. Further, the method is compared to blind detection and post-DOA estimation methods. Simulation results show that the approach is comparable to the current state-of-the-art if the same a priori information is used. However, superior performance is achieved if the attitude of the antenna array is known. The presented approach represents an alternative method for spatial spoofing detection that leverages the DOA estimates but remains in the ASV domain. Therefore, it benefits from noise modeling and ambiguity resolution.