Title: Hypothesis Test for Spoofing Signal Identification using Variance of Tangent Angle of Baseline Vector Components
Author(s): Seong-Hun Seo, Gyu-In Jee, Byung-Hyun Lee, Sung-Hyuck Im, Kwan-Sung Kim
Published in: Proceedings of the 30th International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS+ 2017)
September 25 - 29, 2017
Oregon Convention Center
Portland, Oregon
Pages: 1229 - 1240
Cite this article: Seo, Seong-Hun, Jee, Gyu-In, Lee, Byung-Hyun, Im, Sung-Hyuck, Kim, Kwan-Sung, "Hypothesis Test for Spoofing Signal Identification using Variance of Tangent Angle of Baseline Vector Components," Proceedings of the 30th International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS+ 2017), Portland, Oregon, September 2017, pp. 1229-1240.
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Abstract: Spoofing is the most crucial threat because it induces a receiver to compute different navigation solutions in situation where the receiver is not aware. This research proposes a new method to identify spoofing signals using variance of tangent angle of baseline vector components (VTB). It is assumed that a pair of receivers receive the same spoofing signal from a single spoofer. Each receiver can simultaneously track spoofing and GNSS signals with multi-correlators structures in each channel. It is possible to classify each spoofing and GNSS satellites group by analyzing the residuals of the navigation solutions generated from combinations of the tracked GNSS and spoofing signals in each channel. Then, Group Management Unit (GMU) generates combinations of the carrier phase double-differences for the four groups obtained from the pair of receivers. The combinations can be sorted as follows: Spoofing-Spoofing (SS), GPS-GPS (GG), Spoofing-GPS (SG), GPS-Spoofing (GS). When the baseline vectors are estimated from each combination, the VTB is used to generate a test statistic. In case of SS combination which is alternative hypothesis, each group generates an identical position because the spoofing signal is transmitted from a single spoofer so that baseline vectors of SS combination have only noise component. This noise component prevents the baseline vectors from having a constant directionality, so the VTB has a large value. In the other cases which are null hypotheses, however, the computed positions from all groups are different, so there are comparatively obvious baseline vectors. Therefore, the VTB has a relatively small value. The Neyman-Pearson (NP) hypothesis test has been conducted using these two different characteristic for spoofing signal groups identification. The performance of the test has been analyzed with respect to the length of the baseline vector and variance of the baseline vector components. Simulation were conducted using a software based GNSS signal generator. The experimental results show that proposed method effectively performs identification of spoofing signal groups. Through the geometric properties of test statistics with a certain boundary condition of VTB, the method has a fast response time and a high degree of reliability.