Genetic Algorithm applied to microstrip implementation of matching circuits for a UWB low- noise amplifier

In this paper, design of the input and output matching microstrip circuits subject to the transistor potential performance is completed to meet an ultra-wide band front-end requirements. For this purpose, the performance characterization of a microwave transistor is implemented to design a microstrip amplifier so that geometry of all the matching microstrip elements on a selected substrate (W?, ℓ?, T, ε_r, H, tanδ) where {W?,ℓ?, T} and {ε_r, H, tanδ} are the subvectors including widths, lengths and thickness of the microstrip lines and relative dielectric constant, height and loss of the substrate, respectively, can be obtained from the output subject to the transistor´s potential performance. Thus, a microstrip, Ultra-Wideband (UWB) amplifier realizable as a Microwave Integrated Circuit (MIC) is designed as a worked example using Genetic Algorithm for the maximum gain along an available wideband, simultaneously ensuring the available minimum noise and the permitted small constant mismatching at each operation frequency. Finally, the resultant amplifier´s performance is verified by both the microwave circuit and 3-D full-wave EM-simulators.