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In this paper, an overview of our recent development in the effective modeling of microwave filters is presented, highlighting the application of neural network (NN) modeling technique in the design and optimization of multiplexers. For this application, NN models are based on much simplified EM data of only critical filter structures. The cost of model development is therefore significantly reduced...
A method of modeling spurious mode for microwave multiplexer design is presented. It is proved that the channel filter can be simplified to have the minimum structural features, yet still capable of modeling the effect of spurious mode accurately, which facilitates the application of neural networks in the multiplexer design. Model simplification and neural model development are detailed. The method...
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