Title :
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
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;
Conference_Titel :
TENCON '96. Proceedings., 1996 IEEE TENCON. Digital Signal Processing Applications
Conference_Location :
Perth, WA
Print_ISBN :
0-7803-3679-8
DOI :
10.1109/TENCON.1996.608685
