A Neural Smith Chart Application

@inproceedings{citeulike:1914378, abstract = {The manual analysis and design of microwave circuits are generally tedious and error prone. The Smith chart provides a very useful graphical tool to these problems. A great deal of knowledge can be acquired from a Smith chart e.g. standing wave ratio, single and double stub tunings and much more. Although Smith charts are valuable and contain significant amount of information, inaccurate observations can lead to erroneous results and frustration. In this work, an artificial neural network (ANN) model of the Smith chart is achieved. In this model, the two bilinear transformations between the rectangular Z(Y)-plane and the reflection coefficient Gamma-plane is employed in both directions for the training data. In the current work, the feed forward multilayer perceptron (MLP) type of neural network is utilized with the two hidden layers, five inputs and two outputs. Input impedance variations along the transmission line are given as a typical example for the utilization of the neural Smith chart}, author = {Caglar, M. F. and Gunes, F. }, booktitle = {Signal Processing and Communications Applications, 2006 IEEE 14th}, citeulike-article-id = {1914378}, journal = {Signal Processing and Communications Applications, 2006 IEEE 14th}, keywords = {chart, network, neural, smith}, pages = {1--4}, posted-at = {2007-11-14 14:46:53}, priority = {2}, title = {A Neural Smith Chart Application}, url = {http://ieeexplore.ieee.org/xpls/abs\_all.jsp?arnumber=1659760}, year = {2006} }

TY - CONF ID - citeulike:1914378 L3 - citeulike-article-id:1914378 TI - A Neural Smith Chart Application T2 - Signal Processing and Communications Applications, 2006 IEEE 14th JF - Signal Processing and Communications Applications, 2006 IEEE 14th SP - 1 EP - 4 N2 - The manual analysis and design of microwave circuits are generally tedious and error prone. The Smith chart provides a very useful graphical tool to these problems. A great deal of knowledge can be acquired from a Smith chart e.g. standing wave ratio, single and double stub tunings and much more. Although Smith charts are valuable and contain significant amount of information, inaccurate observations can lead to erroneous results and frustration. In this work, an artificial neural network (ANN) model of the Smith chart is achieved. In this model, the two bilinear transformations between the rectangular Z(Y)-plane and the reflection coefficient Gamma-plane is employed in both directions for the training data. In the current work, the feed forward multilayer perceptron (MLP) type of neural network is utilized with the two hidden layers, five inputs and two outputs. Input impedance variations along the transmission line are given as a typical example for the utilization of the neural Smith chart KW - chart KW - network KW - neural KW - smith AU - Caglar, MF AU - Gunes, F PY - 2006/// UR - http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1659760 ER -