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EM Simulation (em + simulation)
Selected AbstractsDetermination of microwave dielectric constant by two microstrip line method combined with EM simulationMICROWAVE AND OPTICAL TECHNOLOGY LETTERS, Issue 11 2006Sheng-Hsiung Chang Abstract This paper presents a modified procedure to determine the microwave dielectric constant of substrate by two microstrip line method combined with EM simulation. The dielectric constant of substrate is mapped from the measured transmission phase with those of EM simulation, instead of using the closed form equations between the effective dielectric constant and dielectric constant. A tested example of dielectric constant of FR4 substrate is experimented and extracted to verify the proposed procedure. © 2006 Wiley Periodicals, Inc. Microwave Opt Technol Lett 48: 2199,2201, 2006; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.21936 [source] Recent advances of neural network-based EM-CADINTERNATIONAL JOURNAL OF RF AND MICROWAVE COMPUTER-AIDED ENGINEERING, Issue 5 2010Humayun Kabir Abstract In this article, we provide an overview of recent advances in computer-aided design techniques using neural networks for electromagnetic (EM) modeling and design applications. Summary of various recent neural network modeling techniques including passive component modeling, design and optimization using the models are discussed. Training data for the models are generated from EM simulations. The trained neural networks become fast and accurate models of EM structures. The models are then incorporated into various optimization methods and commercially available circuit simulators for fast design and optimization. We also provide an overview of recently developed neural network inverse modeling technique. Training a neural network inverse model directly may become difficult due to the nonuniqueness of the input,output relationship in the inverse model. Training data containing multivalued solutions are divided into groups according to derivative information. Multiple inverse submodels are built based on divided data groups and are then combined to form a complete model. Comparison between the conventional EM-based design approach and the inverse design approach has also been discussed. These computer-aided design techniques using neural models provide circuit level simulation speed with EM level accuracy avoiding the high computational cost of EM simulation. © 2010 Wiley Periodicals, Inc. Int J RF and Microwave CAE, 2010. [source] Miniaturized elliptic bandpass filter using the novel coplanar double stepped impedance resonatorsMICROWAVE AND OPTICAL TECHNOLOGY LETTERS, Issue 6 2006Suk-Hyung Jang Abstract This paper presents the design and experimental results of the new miniaturized elliptic coplanar bandpass filter (EC BPF) using two types of double stepped impedance resonators (DSIRs) operating at a center frequency of 1.38 GHz. Miniaturization in the proposed BPF is achieved by connecting the transmission line between the middle of two SIRs contained in a single DSIR and both grounded planes. In addition, bond-wire bridges connected between both grounded planes (which are needed in various coplanar waveguide structures) are not required. The new four-pole EC-DSIR BPF shows good agreement with the simulation data obtained by full-wave EM simulations using Zeland IE3D ver. 10.06. © 2006 Wiley Periodicals, Inc. Microwave Opt Technol Lett 48: 1059,1063, 2006; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.21600 [source] | ||||||||||