Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 433-436 |
| Number of pages | 4 |
| Journal | Chinese Journal of Electronics |
| Volume | 22 |
| Issue number | 2 |
| State | Published - Apr 2013 |
Keywords
- Beamforming
- Global positioning system (GPS)
- Interference suppression
- Kalman filter
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