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Efficient Design And Implementation Of Miniaturized Microstrip Diplexer Using Dual Open Stub Loaded Resonator For 5g Applications, Islam F. Abu Elkhair, Hamdi A. Elmikati, Mohamed M. Ashour, Amr H. Hussein
Efficient Design And Implementation Of Miniaturized Microstrip Diplexer Using Dual Open Stub Loaded Resonator For 5g Applications, Islam F. Abu Elkhair, Hamdi A. Elmikati, Mohamed M. Ashour, Amr H. Hussein
Mansoura Engineering Journal
The design and implementation of a compact size diplexer with high isolation, low insertion loss, and small fractional bandwidths is a promising issue in recent wireless communication systems. In this paper, a novel microstrip diplexer has been introduced based on the utilization of the dual open stub loaded resonator technique. The proposed design has a very compact size of with a high operating power efficiency. The diplexer is designed to operate at two resonance frequencies of and with very low insertion losses of and , respectively. Moreover, it provides high isolation values of and for and , respectively. The diplexer …
Microstrip Antenna Design Using Cst Optimized By Neural Network Algorithm, Hadeer. A Shoeab, Mohamed A.Mohamed, Marzouk El Said A, Ahmed. A. Kabeel
Microstrip Antenna Design Using Cst Optimized By Neural Network Algorithm, Hadeer. A Shoeab, Mohamed A.Mohamed, Marzouk El Said A, Ahmed. A. Kabeel
Mansoura Engineering Journal
In this paper, a general design procedure is suggested for the microstrip antennas using artificial neural networks and this is demonstrated using the rectangular patch geometry. The model was analyzed for 1733 data sets of input output parameters. 1300 samples for training and 433 samples for testing and 1500 epoch, learning rate from (0.003 to 0.005). Python was used to create and implement the ANN algorithm model. The mean error in detection of resonance frequencies (return loss peaks) was 0.144GHz on train set, and 0.116GHz on test set. The outputs of the radial basis function are optimized by varying the …