DING Wenrui, ZHU Yunlong, ZHANG Bo, et al., “A GPS Receiver Adaptive Digital Beamforming Interference Suppression Algorithm Based on Kalman Filter,” Chinese Journal of Electronics, vol. 22, no. 2, pp. 433-436, 2013,
Citation: DING Wenrui, ZHU Yunlong, ZHANG Bo, et al., “A GPS Receiver Adaptive Digital Beamforming Interference Suppression Algorithm Based on Kalman Filter,” Chinese Journal of Electronics, vol. 22, no. 2, pp. 433-436, 2013,

A GPS Receiver Adaptive Digital Beamforming Interference Suppression Algorithm Based on Kalman Filter

Funds:  This work is supported by the National Natural Science Foundation of China (No.61171070).
  • Received Date: 2012-09-01
  • Rev Recd Date: 2012-12-01
  • Publish Date: 2013-04-25
  • This paper proposed a novel Global positioning system (GPS) receiver adaptive Digital beamforming (DBF) interference suppression algorithm, which remodeled Minimum power distortionless response (MPDR) beamforming by transforming it into Minimum mean square error (MMSE) beamforming in the frame of Generalized 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.
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