Optimal fusion of multiple GNSS signals against spoofing sources

Abstract

Electronic attacks such as spoofing are becoming an increasing threat for satellite-based navigation receivers.The aim of this paper is to develop a preventive method against such electronic attacks. In our scheme, the localization system uses four different Global Navigation Satellite Systems (GNSSs): GPS, Galileo, GLONASS, and Compass. The signals received from these satellite systems will be fused inferentially and will be tracked according to a linear model.The linear model that we developed is solved with a Kalman filter and simulated under different scenarios. When a discrepancy is detected in the output of one of the GNSS receivers due to spoofing, it is excluded from the fusion.

Analysis of condition number and position estimation error for multiangulation position estimation system

“…EW involves monitoring of the electromagnetic (EM) spectrum and use of the directed energy to control the spectrum, usually to protect a friendly platform and inflict an attack on an adversary [2][3][4]. The ES system works by intercepting and acquiring the enemy's radiated energy, which may be emitted from communication networks, radars, telemetry transmitters, or unintended radiation from computer clocks [8,18]. Its main objective is to acquire intelligence features derived from the adversary's radiation such as position, identity, and degradation of the radar or communication systems' performance by using a random noise jammer or coherent smart jammers [3,8].…”

“…and substituting in (25) the values of a 11 , a 12 , a 21 , and a 22 obtained from (16) to (18) provides the values of λ 1 and λ 2 . Hence, the coefficient matrix condition number k[A T A] computed for λ i (i = 1, 2) is obtained by the ratio of the two eigenvalues as follows:…”