New neural network for multichannel blind equalization

Yong Fang

doi:10.1117/12.521942

28 April 2004 New neural network for multichannel blind equalization

Yong Fang

Proceedings Volume 5284, Wireless Communications and Networks; (2004) https://doi.org/10.1117/12.521942
Event: Asia-Pacific Optical and Wireless Communications, 2003, Wuhan, China

Abstract

The paper considers adaptive blind equalization problem of multichannel systems in digital communication. A feedforward neural network with lateral connections is introduced as the equalizer to estimate the source symbols from the received signals only. The lateral connections of the network are able to perform the self-orthogonalization, and thus the network can improved the performance. Simulation results have demonstrated promising performance of the proposed neural approach.

Citation Download Citation

Yong Fang "New neural network for multichannel blind equalization", Proc. SPIE 5284, Wireless Communications and Networks, (28 April 2004); https://doi.org/10.1117/12.521942

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available