Optimizing Computing Time In The Wave Iterative Method By Rls And Sftf Algorithms

INTERNATIONAL JOURNAL OF NUMERICAL MODELLING-ELECTRONIC NETWORKS DEVICES AND FIELDS(2019)

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摘要
In this research paper, adaptive filtering techniques are used to improve performance of the wave iterative method. This method is used for the modeling and the study of the planar microwave electronic circuits which are the most used today in the new technologies of radio frequency communication. In order to improve the convergence speed of the wave iterative method, we use the recursive least square algorithm and the stabilized fast transversal filter. A significant gain in computation time is obtained with these new techniques with a good accuracy in the found results.
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关键词
adaptive algorithm, convergence, computing time, recursive least square (RLS), stabilized fast transversal filter (SFTF), wave concept iterative procedure (WCIP)
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