Mainlobe Interference Suppression Method for Satellite Navigation System Based on Dynamic Platform

Given the problem that the anti-jamming method for satellite navigation under dynamic platform conditions is very sensitive to main-lobe interference, especially when the training data contains the signal of interest (SOI) component, a small intensity of main beam interference (MBI) can also lead to serious degradation of the algorithm performance. The method in this paper is based on linear constrained minimum variance (LCMV) with quadratic beam constraint imposed on the interference, using the constrained optimization pattern (COP) synthesis method to achieve robust adaptive beamforming, using the Lagrange multiplier method to solve adaptive weights, and adaptively suppressing MBI according to the received signal sampling data and adaptive weights. The simulation experiments verify the effectiveness and robustness of the proposed robust adaptive beamforming (RAB) algorithm for MBI suppression, which fundamentally solves the application problem of the anti-jamming algorithm for satellite navigation system based on Dynamic Platform.