Title :
Behavioral modeling by Volterra series and time-delay neural network approach
Author :
Misic, Jelena ; Markovic, Vera ; Marinkovic, Zlatica
Author_Institution :
Univ. of Westminster, London, UK
Abstract :
Solving the non-linear distortion problems in wireless communications is often based on developing the behavioral models of non-linear components. In this paper, a non-linear Volterra model up to third order is developed by using an artificial neural network (ANN) approach. The Volterra kernels are derived from the parameters of a feed-forward time delay neural network with a suitable activation function. The Volterra model is implemented to represent the behavior of a low noise amplifier for LTE receiver.
Keywords :
Long Term Evolution; Volterra series; delays; feedforward neural nets; low noise amplifiers; nonlinear distortion; radio receivers; ANN; LTE receiver; Long Term Evolution; Volterra kernels; activation function; artificial neural network approach; behavioral modeling; feedforward time delay neural network; low noise amplifier; nonlinear Volterra model; nonlinear distortion problems; wireless communications; Artificial neural networks; Biological neural networks; Kernel; Mathematical model; Neurons; Vectors; Behavioral modeling; Volterra kernels; Volterra series model; time-delay artifical neural networks;
Conference_Titel :
Neural Network Applications in Electrical Engineering (NEUREL), 2014 12th Symposium on
Conference_Location :
Belgrade
Print_ISBN :
978-1-4799-5887-0
DOI :
10.1109/NEUREL.2014.7011456