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We propose a dual-recursion particle filter for global navigation satellite system (GNSS) calculations that separates the positioning and velocity estimations. The proposed filter can cover the state space more adequately with the same number of particles, and hence, it provides better positioning accuracy. Additionally, considering the vulnerability of GNSS, an improved receiver autonomous integrity...
The Global Navigation Satellite System (GNSS) has been widely used by militaries as well as civilians. Generally, the locating accuracy is high, but the system is lack of immunity against spoofing attack, which may deceive the receiver into error positioning. In order to deal with the problem, a maximum particle weight monitoring scheme based on particle filter (PF) is proposed for spoofing detection...
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