A new learning algorithm for blind 2-channel identification

Author

Luo, Jie ; Zhao, Qing ; Ling, Xieting ; Dong, Guojie ; Liu, Ruey-wen

Author_Institution

Fudan Univ., Shanghai, China

Volume

1

fYear

1996

fDate

26-29 Nov 1996

Firstpage

7

Abstract

A new algorithm is proposed for blind identification of non-minimum phase linear time-variant channels. It is proved to be globally convergent in both the continuous and discrete domains. The fast convergence speed makes this algorithm very useful for tracing a time-variant channel in mobile communication. Some simulations are given to show its tracking ability. Also a constructive approach is presented to determine the channel order

Keywords

convergence of numerical methods; knowledge based systems; land mobile radio; learning (artificial intelligence); neural nets; parameter estimation; telecommunication computing; time-varying channels; tracking; blind 2-channel identification; channel order; continuous domain; discrete domain; fast convergence speed; globally convergent algorithm; learning algorithm; mobile communication; neural networks; nonminimum phase linear time-variant channels; simulations; tracking; Algorithm design and analysis; Convergence; Eigenvalues and eigenfunctions; Intelligent networks; Neural networks;

fLanguage

English

Publisher

ieee

Conference_Titel

TENCON '96. Proceedings., 1996 IEEE TENCON. Digital Signal Processing Applications

Conference_Location

Perth, WA

Print_ISBN

0-7803-3679-8

Type

conf

DOI

10.1109/TENCON.1996.608685

Filename

608685