Title :
Interference cancellation using a Hopfield neural network
Author :
Haimovich, A.M. ; Even-Or, B.
Author_Institution :
AEL Ind., Lansdale, PA, USA
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;
Conference_Titel :
Circuits and Systems, 1990., IEEE International Symposium on
Conference_Location :
New Orleans, LA
DOI :
10.1109/ISCAS.1990.112097
