Particle Swarm Optimization for the Path Loss Reduction in Suburban and Rural Area

In the present work, a precise optimization method is proposed for tuning the parameters of the COST231 model to improve its accuracy in the path loss propagation prediction. The Particle Swarm Optimization is used to tune the model parameters. The predictions of the tuned model are compared with the most popular models. The performance criteria selected for the comparison of various empirical path loss models is the Root Mean Square Error (RMSE). The RMSE between the actual and predicted data are calculated for various path loss models. It turned out that the tuned COST 231 model outperforms the other studied models

Effect of the Thickness of High Tc Superconducting Rectangular Microstrip Patch over Ground Plane with Rectangular Aperture

In recent years, a great interest has been observed in the development and use of new materials in microwave technology. Particularly, a special interest has been observed in the use of superconducting materials in microwave integrated circuits, this is due to their main characteristics. In this paper, the complex resonant frequency problem of a superconductor patch over Ground Plane with Rectangular Aperture is formulated in terms of an integral equation, the kernel of which is the dyadic Green’s function. Galerkin’s procedure is used in the resolution of the electric field integral equation. The surface impedance of the superconductor film is modeled using the two fluids model of Gorter and Casimir. Numerical results concerning the effect of the thickness of the superconductor patch on the characteristics of the antenna are presented

Failure correction of linear antenna arrays with optimized element position using Grey Wolf Algorithm

International audienceThe paper concerns the problem of monitoring linear antenna arrays using grey wolf optimization method (GWO). When an abnormal event (fault) affects an array of antenna elements, the radiation pattern changes and significant deviation from the desired design pattern can occur. In this paper, reconfiguration of the amplitude and phase distribution of the remaining working elements in a failed array is considered. This latter can improve the side lobe levels (SLL) and also maintain the null position. The main purpose of using the GWO technique is its ease of implementation and a high performance computational technique. To assess the strength of this new scheme, several case studies involving different types of faults were performed. Simulation results clearly have shown the effectiveness of the proposed algorithm to monitor the failure correction of linear antenna arrays