Title :
A joint operation of a neural network and a GSC structure applied to linear and planar arrays
Author :
Guerreiro, Ana Maria Guimarães ; Neto, Adrião Duarte Dòria ; Lisboa, Fábio Adriano
Author_Institution :
Dept. of Electr. Eng., Campus Univ. Lagoa Nova, Natal, Brazil
Abstract :
This paper presents a processing technique for adaptive planar and linear array beamforming. The method is based on a Generalized Sidelobe Canceler (GSC) structure. In wireless communications the mobile stations are always changing places, so it is impossible to know a priori the direction of arrival of the desired signal. An Artificial Neural Network (ANN) was used to predict antenna behavior. A radial basis function (RBF) was chosen because it has an adequate characteristic. The desired direction is given for the GSC structure, which is able to construct the constraint matrix
Keywords :
adaptive antenna arrays; array signal processing; interference suppression; linear antenna arrays; planar antenna arrays; radial basis function networks; telecommunication computing; ANN; RBF; adaptive array beamforming; antenna behavior prediction; constraint matrix; generalized sidelobe canceller structure; joint operation; linear arrays; neural network; planar arrays; processing technique; radial basis function; Adaptive arrays; Array signal processing; Artificial neural networks; Directive antennas; Interference cancellation; Linear antenna arrays; Neural networks; Planar arrays; Transmission line matrix methods; Wireless communication;
Conference_Titel :
Microwave and Optoelectronics Conference, 1999. SBMO/IEEE MTT-S, APS and LEOS - IMOC '99. International
Conference_Location :
Rio de Janeiro
Print_ISBN :
0-7803-5807-4
DOI :
10.1109/IMOC.1999.866229