Title :
Complex EKF neural network for adaptive equalization
Author :
Rao, K. Deergha ; Swamy, M.N.S. ; Plotkin, E.I.
Author_Institution :
Dept. of ECE, Concordia Univ., Montreal, Que., Canada
Abstract :
Neural networks with real valued inputs have been proposed in the literature for adaptive equalization and have been used to improve performance of communication channel equalizers. However, neural networks with complex valued inputs and fast convergence are lacking for adaptive equalization. Therefore, in this paper, complex extended Kalman filter (CEKF)-based neural network with complex valued inputs for adaptive equalization of a communication channel is suggested. Performance comparison of the CEKF and complex backpropagation (CBP) neural networks is made through simulation results
Keywords :
Kalman filters; adaptive equalisers; multilayer perceptrons; CEKF neural network; adaptive equalization; communication channel equalizers; complex extended Kalman filter; complex valued inputs; convergence; real valued inputs; Adaptive equalizers; Adaptive signal processing; Adaptive systems; Backpropagation algorithms; Communication channels; Computer networks; Convergence; Digital communication; Multi-layer neural network; Neural networks;
Conference_Titel :
Circuits and Systems, 2000. Proceedings. ISCAS 2000 Geneva. The 2000 IEEE International Symposium on
Conference_Location :
Geneva
Print_ISBN :
0-7803-5482-6
DOI :
10.1109/ISCAS.2000.856333
