High Dynamic GNSS Anti-jamming Algorithms Based on Nulling Widening and Deepening

According to the motion characteristics of GNSS receiver carrier under high dynamic conditions, a signal statistical model under high dynamic conditions is established. In order to solve the problem that the depth of the traditional CMT algorithm will become shallow while the nulling is widened, the nulling widening and deepening algorithm based on Gauss distribution is proposed. The algorithm preprocesses the data by projection transformation, extracts the interference components from the sampled signal, enhances the interference components by weighting the coefficients, widens and deepens the nulling, constructs a new covariance matrix, and finally completes the interference suppression by using the power inversion algorithm. The simulation results show that under high dynamic conditions, the proposed algorithm achieves the increase of nulling depth on the basis of CMT algorithm, and improves the robustness of interference suppression under high dynamic conditions.