Self-tuning prediction of beamforming vector

In this paper the use of a self-tuning predictor in antenna array beamforming is examined. Prediction can be used for compensating the delay in beamforming coefficient update if the one of the ends of the radio link is moving fast. Three different prediction model configurations are examined; although all predictions are based on applying a recursive least squares (RLS) method to an auto-regressive-moving-average (ARMA) model. The advantages of the beamforming vector prediction are demonstrated through simple simulations with perfect power control and no multipath components. The signal-to-interference-and-noise-ratio (SINR) is used as the performance measure.