In this paper, an analytical model is presented to investigate the resonant characteristics of a graphene rectangular microstrip patch antenna. To take into account the graphene film patch in the full-wave spectral domain technique, surface complex impedance is considered. This impedance is determined by using Kubo formula. A set of roof top sub-domain basis functions are employed to model the current density distribution on the graphene rectangular microstrip patch. The simulation results demonstrate that the designed structure can provide excellent tunable properties in Terahertz frequency region by varying different chemical potentials and relaxation times of graphene film. Variations of dimension of rectangular patch on the resonant frequency and bandwidth of a graphene rectangular microstrip antenna are presented. Finally, numerical results for the dielectric substrates effects on the operating frequencies are also presented. The analysis is validated by comparing the results with a specific example in the literature.
In this paper, minimum variance distortionless response (MVDR) algorithm for adaptive Beamforming is applied to a linear array under known mutual coupling among half wavelength dipole (HWD) antennas. This algorithm will minimize the signals from all interference directions while keeping the desired signal undistorted. The problem of calculating mutual coupling coefficient of the array HWD antennas formed into a matrix has been considered. The obtained results show the effectiveness of the proposed method, in which the optimum weighting of adaptive antenna arrays is accomplished by computing the weight vector that achieves maximum towards the desired signal and nulls towards interferers. Also, performance evaluation of this algorithm in terms of complexity, convergence speed, and amplitude response will be present. It is shown from the simulation results that the performance of the beamforming algorithm considering the mutual coupling effect can be improved by the proposed compensation method. We also simulate the signal-to-interference-plus-noise ratio (SINR) with different input signal-to-interference ratio (SIR). The different results obtained are in good agreement with those of the literature.
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