GNSS interference detector based on Chi-square Goodness-of-fit test

Interference is an actual problem for Global Navigation Satellite System (GNSS) receivers. Despite a wide amount of research works available in literature, the growing risk represented by portable jamming devices indicates that interfering signals are still a concern for GNSS-based services. The design of simple detection methods, possibly applicable to all types of interference, remains an open challenge for receiver designers. In this paper we introduce a method based on the statistical characteristics of the received signal, able to provide early warnings in case of interference. The method is based on the Chi-square Goodness-of-Fit test and can be applied to all types of interfering signals with moderate complexity. First tests on simulated and real signals demonstrated promising detection perfomance, even with low power interference hard to detect with conventional algorithms in frequency and time domain.