Zak Transform-Based Adaptive Interference Extraction Method for GNSS Interference Mitigation

Unmanned Aerial Vehicles (UAVs) rely heavily on Global Navigation Satellite Systems (GNSS) for positioning and navigation when performing tasks. At the same time, low-cost GNSS jammers can pose a severe threat to the use of GNSS. Interference affects the work of GNSS receivers and even causes GNSS positioning to fail, thereby increasing the possibility of drone mission failure. Aiming at the current common chirp interference, this paper proposes an interference mitigation method based on Zak transform to mitigate the impact of interference on GNSS receivers. The proposed method takes advantage of the sparsity of the interfering signal at the Doppler shift axis of the Delay-Doppler (DD) domain to obtain an estimation of the interference signal, which is then subtracted from the received GNSS signal to remove the interference. Simulation results show that the proposed method is more effective in mitigating interference than other methods reported in the literature.