Output prediction about crosstalk coupling of representative multi-cable bundle on aircraft platform based on neural network

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A method of output prediction about crosstalk coupling of multi-cable bundle on aircraft is presented without solving the coupling matrix. BP neural network is used to simulate the coupling relation between input and output. The network of input and output are trained with LMBP algorithm. MOM is applied to calculate the output value of multi-cable bundle when inputs in different frequency point are given through establishing 3D model of transmission lines. It's shown that the predicted values of neural network in different frequency points coincide with values of MOM simulative outputs well. Otherwise a concept of relative coupling error is put forward to estimating the accuracy of prediction algorithm. The predicted values are much closer to the simulative ones after the inputs of neural network have been optimized properly. This method can be used to predict the output of nonlinear multi-cables coupling in complex system structure.

Original languageEnglish
Title of host publicationProceedings - 2009 3rd IEEE International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications, MAPE 2009
Pages381-384
Number of pages4
DOIs
StatePublished - 2009
Event2009 3rd IEEE International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications, MAPE 2009 - Beijing, China
Duration: 27 Oct 200929 Oct 2009

Publication series

NameProceedings - 2009 3rd IEEE International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications, MAPE 2009

Conference

Conference2009 3rd IEEE International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications, MAPE 2009
Country/TerritoryChina
CityBeijing
Period27/10/0929/10/09

Keywords

  • Coupling
  • Crosstalk
  • Multi-cable
  • Neural network
  • Prediction

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