By Topic

Combining the Genetic Algorithm Approach and the Model-Based Parameter Estimation into an Adaptive Frequency Sampling Algorithm

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Roger Abacherli ; R & D Biomedical Signalprocessing, Schiller AG, CH-6341 Baar, Switzerland. ; Michael Mattes ; Eric Suter ; Juan R. Mosig

In this article, we present a new algorithm for the adaptive frequency sampling of passive microwave devices and networks. The algorithm combines the survival-of-the-fittest principle of the genetic algorithm with the model-based parameter estimation. The sampling algorithm does not need any information about derivatives or continuity of the sampled function. Presented application examples show good efficiency and robustness of the algorithm. The adaptive sampling algorithm leads to a significant reduction of simulation time since it chooses only a minimum of sampling points to model the response of the device under test.

Published in:

Microwave Conference, 2001. 31st European

Date of Conference:

24-26 Sept. 2001