A GPS Receiver Adaptive Digital Beamforming Interference Suppression Algorithm Based on

This paper proposed a novel Global posi- tioning system (GPS) receiver adaptive Digital beamform- ing (DBF) interference suppression algorithm, which re- modeled Minimum power distortionless response (MPDR) beamforming by transforming it into Minimum mean square error (MMSE) beamforming in the frame of Gen- eralized sidelobe canceller (GSC), and introduced Kalman filter (KF) to carry out adaptive beamforming. Theory analyses and simulation results indicate that this algorithm has higher output Signal to interference and noise ratio (SINR) than Recursive least square (RLS) and Least mean square (LMS) adaptive beamforming algorithms which are in common use, and similar convergence rate with RLS algorithm.