Designing Stepped Impedance Microstrip Low-Pass Filters Using Artificial Neural Network at 1.8 GHz

In this paper a design technique for a Stepped impedance Micro strip Low-pass filters is presented by using the artificial neural network (ANN) modeling method. Required dimensions of the micro strip filter layout are used to get the input-output relationships in the ANN model. This paper presents the design and analysis of Stepped impedance Micro strip Low-pass filters at cut-off frequency 1.8 GHz which gives insertion loss (S21) of-3 dB at cut-off point. Subsequently an artificial neural network model is developed to find out the Magnitude variation of scattering parameters (S-parameters) of Micro strip Low-pass filters at 1.8 GHz for different dimensions. After developing the ANN model of micro strip low-pass filter, it is computationally more efficient in the design and it has been displayed to be as accurate as an Electromagnetic simulator. The simulation is performed using the commercial software IE3D 14.1 and MATLAB programming language GUI Tools are used for ANN Training.