A neural adaptive beamforming system to reduce interfering signals in mobile communications

This work proposes a neural adaptive beamforming system combining a feedforward artificial neural network with a backpropagation learning algorithm and linear, planar and circular antenna arrays. It intends to reduce interfering signals of the type for multi-path, co-channel interference or near-far...

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Main Authors: Arruda Filho, E.J.M., Cavalcante, G.P.S.
Format: Conference Proceeding
Language:English
Subjects:
Adaptive arrays
Adaptive systems
Antenna feeds
Antenna radiation patterns
Array signal processing
Artificial neural networks
Backpropagation algorithms
Interchannel interference
Linear antenna arrays
Position control
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creator Arruda Filho, E.J.M.
Cavalcante, G.P.S.
description This work proposes a neural adaptive beamforming system combining a feedforward artificial neural network with a backpropagation learning algorithm and linear, planar and circular antenna arrays. It intends to reduce interfering signals of the type for multi-path, co-channel interference or near-far field problems in communication systems. The system as a whole maximizes the signal/interference rate (SIR) by the orientation control of the radiation pattern of the arrays. The array individual element excitation allows the creation of a radiation pattern orienting the beam in different directions, pointing out a null (or minimum) for the interfering signal, and a maximum for the desired one.
doi_str_mv 10.1109/IMOC.1999.866266
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ispartof 1999 SBMO/IEEE MTT-S International Microwave and Optoelectronics Conference, 1999, Vol.2, p.658-662 vol. 2
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source IEEE Electronic Library (IEL) Conference Proceedings
subjects Adaptive arrays
Adaptive systems
Antenna feeds
Antenna radiation patterns
Array signal processing
Artificial neural networks
Backpropagation algorithms
Interchannel interference
Linear antenna arrays
Position control
title A neural adaptive beamforming system to reduce interfering signals in mobile communications
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