In this article a suspended strip line filter design, modeling and optimization using artificial neural network (ANN) technique is described. ANN is widely used in microwave filter analysis and synthesis. ANN technique can reduce the cost of computation significantly and thus can produce fast and accurate result compared to the conventional electromagnetic (EM) methods.
The synthesis of band pass filter is done using the coupled suspended strip line resonators in end coupled configuration. The method developed is verified from FEM simulation. Finally the filter has been fabricated and tested to verify the theory. The measurement of the filter in this configuration gives a wide pass band and significant low loss VSWR over the frequency band of design.
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