Neural-based dynamic modeling of nonlinear microwave circuits

A neural network formulation for modeling nonlinear microwave circuits is achieved in the most desirable format, i.e., continuous time-domain dynamic system format. The proposed dynamic neural network (DNN) model can be developed directly from input-output data without having to rely on internal det...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on microwave theory and techniques 2002-12, Vol.50 (12), p.2769-2780
Main Authors: Jianjun Xu, Yagoub, M.C.E., Runtao Ding, Qi-Jun Zhang
Format: Article
Language:English
Subjects:
Artificial neural networks
Circuit simulation
Computational modeling
Computer simulation
Design automation
Dynamical systems
Equivalent circuits
Format
Mathematical models
Microwave circuits
Neural networks
Nonlinear circuits
Nonlinear dynamical systems
Nonlinear dynamics
Nonlinearity
Very large scale integration
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:A neural network formulation for modeling nonlinear microwave circuits is achieved in the most desirable format, i.e., continuous time-domain dynamic system format. The proposed dynamic neural network (DNN) model can be developed directly from input-output data without having to rely on internal details of the circuit. An algorithm is developed to train the model with time or frequency domain information. Efficient representations of the model are proposed for convenient incorporation of the DNN into high-level circuit simulation. Compared to existing neural-based methods, the DNN retains or enhances the neural modeling speed and accuracy capabilities, and provides additional flexibility in handling diverse needs of nonlinear microwave simulation, e.g., time- and frequency-domain applications, single-tone and multitone simulations. Examples of dynamic modeling of amplifiers, mixer, and their use in system simulation are presented.
ISSN:0018-9480
1557-9670
DOI:10.1109/TMTT.2002.805192