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Fast prediction of the performance of wireless links by simulation-trained neural networks

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3 Author(s)
A. Neri ; Fondazione Ugo Bordoni, Bologna, Italy ; C. Cecchetti ; A. Lipparini

The paper illustrates a technique for fast and accurate prediction of the performance of wireless links while taking into account the nonlinear distortions in the RF/microwave sections. Each simulation is partly carried out by modulation-oriented harmonic balance, and the results are used to generate a specialized neural network which efficiently performs the major part of the task. High accuracy is obtained, and dynamic behavior of wideband modulating signals can easily be included.

Published in:

Microwave Symposium Digest. 2000 IEEE MTT-S International  (Volume:1 )

Date of Conference:

11-16 June 2000