Interference cancellation using a Hopfield neural network

A. M. Haimovich, B. Even-Or

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)503-506
Number of pages4
JournalProceedings - IEEE International Symposium on Circuits and Systems
Volume1
StatePublished - Dec 1 1990
Externally publishedYes
Event1990 IEEE International Symposium on Circuits and Systems Part 4 (of 4) - New Orleans, LA, USA
Duration: May 1 1990May 3 1990

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Interference cancellation using a Hopfield neural network'. Together they form a unique fingerprint.

Cite this