Abstract
Spoofing has a vital role in distorting global positioning system (GPS) signals. In this paper, a plenary anti-spoofing approach based on correlation and adaptive Kalman filtering is proposed to distinguish and then diminish spoofing effects. The suggested method can be easily implemented in tracking loop of GPS receiver. According to the actual situation, the receiver requires constantly adjusting the system model or filtering parameters. We will study a real-time spoof recognition method that has clear certainty by introducing a reliable exhaustive metric. In compensation phase, a kind of innovation based Adaptive Extended Kalman Filter (AEKF) is addressed and a new system model is put forward. As a primary step, the proposed technique is implemented in software receiver to prove the concept of idea in a multipath-free scenario. Three different data sets have been collected to use in the performance assessment of the method. The results indicate that the investigated algorithm is able to perform a real-time detection and reduce the miss-adjustment of steady-state positioning.
Published Version
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