✦ LIBER ✦

A neural-network-based linearly constrained minimum variance beamformer

✍ Scribed by A. H. El Zooghby; C. G. Christodoulou; M. Georgiopoulos

Publisher: John Wiley and Sons
Year: 1999
Tongue: English
Weight: 151 KB
Volume: 21
Category: Article
ISSN: 0895-2477
DOI: 10.1002/(sici)1098-2760(19990620)21:6<451::aid-mop15>3.0.co;2-m

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✦ Synopsis

This paper presents a neural network approach for beamforming and interference cancellation. A three-layer radial basis function neural network is trained with input᎐output pairs. The results obtained from this network are in excellent agreement with the Wiener solution. It was found that networks implementing these functions are successful in tracking mobile users in real time as they mo¨e across the antenna's field of ¨iew.