Bandwidth Analysis by Introducing Slot in Interdigital Band Pass Filter Using ANN

In this paper, a new method of bandwidth estimation using variation of slot length on interdigital band pass filter has been presented using artificial neural networks for desired frequency range between 1.7—2.5 GHz. Interdigital filter is multifinger periodic structure which offers compact filter design space. An ANN model has been developed and tested for estimating the cut off frequency of band pass filter based on slot length and performance is evaluated in terms of mean square error and concluded that RBF network is more accurate than MLPFFBP. The proposed method of design provides the exact bandwidth for particular finger length of filter without using painstaking calculation. Keywords— Artificial neural networks (ANN), Multi layer Perceptron feed Forward back propagation (MLPFFBP), Mean square error (MSE), Radial Basis Function (RBF), Artificial neural network (ANN), Levenberg Marquardt (LM).