DocumentCode
2619047
Title
Interference cancellation using a Hopfield neural network
Author
Haimovich, A.M. ; Even-Or, B.
Author_Institution
AEL Ind., Lansdale, PA, USA
fYear
1990
fDate
1-3 May 1990
Firstpage
503
Abstract
The use of a Hopfield neural network for interference cancellation is investigated. It is suggested that the neural network be used to estimate the signal subspace that contains the interferences. The array weight vector is constructed so that it is orthogonal to this subspace. It is shown that this array provides effective interference cancellation for narrowband sources
Keywords
computerised signal processing; interference suppression; neural nets; Hopfield neural network; array weight vector; beamforming; interference cancellation; narrowband sources; Covariance matrix; Hopfield neural networks; Interference cancellation; Narrowband; Neural networks; Parallel architectures; Sensor arrays; Signal processing; Signal to noise ratio; Very large scale integration;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1990., IEEE International Symposium on
Conference_Location
New Orleans, LA
Type
conf
DOI
10.1109/ISCAS.1990.112097
Filename
112097
Link To Document