DocumentCode :
1717255
Title :
Self-tuning prediction of beamforming vector
Author :
Hasu, Vesa ; Koivo, Heikki N.
Author_Institution :
Control Eng. Lab., Helsinki Univ. of Technol., Finland
fYear :
2003
Firstpage :
49
Lastpage :
53
Abstract :
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.
Keywords :
array signal processing; autoregressive moving average processes; delays; land mobile radio; least squares approximations; parameter estimation; power control; prediction theory; radio links; telecommunication control; tuning; ARMA model; RLS method; SINR; antenna array beamforming; auto-regressive-moving-average; beamforming coefficient update; beamforming vector prediction; delay compensation; parameter estimation; perfect power control; performance measure; prediction model configurations; radio link; recursive least squares method; self-tuning prediction; signal-to-interference-and-noise-ratio; simulations;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Personal Mobile Communications Conference, 2003. 5th European (Conf. Publ. No. 492)
ISSN :
0537-9989
Print_ISBN :
0-85296-753-5
Type :
conf
DOI :
10.1049/cp:20030217
Filename :
1350155
Link To Document :
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