Early Detection of GNSS jamming Interference Based on Statistical Test in Receiver Non-satellite Channel

Due to the inherent vulnerability of GNSS and the increasing complexity of the electromagnetic environment in recent years, GNSS signals are facing a growing threat from types of jamming interference. Early detection of GNSS interference is crucial to provide timely warnings before degradation in navigation and positioning functions occurs. This paper presents a novel approach for GNSS jamming interference detection using the statistical analysis, while also the influence of Automatic Gain Control (AGC) on detection is analyzed. By comparing the similarities of mean value derived from signals under normal and potential jamming conditions, hypothesis testing is introduced to detect the presence of jamming. The detection results are evaluated on Continuous Wave (CW), Chirp, and Additive White Gaussian Noise (AWGN) jamming signals by a semi-physical simulation platform. The results demonstrate that the approach exhibits a high detection rate under low JSR conditions.