Title :
Blind 2-channel identification based on discrete orthogonal learning rule
Author :
Deng, Huaqiu ; Liu, Li ; Weng, Wenhua ; Yu, Jiping ; Yu, Yinglin
Author_Institution :
Res. Inst. of Radio & Autom., South China Univ. of Technol., Guangzhou, China
Abstract :
A discrete neural network is proposed to solve a blind channel identification problem under wireless communication. Under a discrete orthogonal learning rule, the synapses vector of the discrete neural network globally converges to a null space of an input data matrix for almost all initial conditions. Simulation results show that the discrete neural network functions very well
Keywords :
equalisers; learning (artificial intelligence); matrix algebra; neural nets; radiocommunication; signal processing; telecommunication channels; blind 2-channel identification; discrete neural network; discrete orthogonal learning rule; input data matrix; space; synapses vector; wireless communication; Automation; Blind equalizers; Electronic mail; Finite impulse response filter; Hydrogen; Neural networks; Null space; Physics; Space technology; Wireless communication;
Conference_Titel :
Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation., 1997 IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-4053-1
DOI :
10.1109/ICSMC.1997.635308
