Pattern Recovery in Linear Arrays Using Grasshopper Optimization Algorithm

In this paper, the technique of restoring the pattern even after the element failure is demonstrated in linear arrays (LA). The process involves in determining the amplitude excitation coefficients of each element in the linear array using grasshopper algorithm (GHA). Linear array with 20 elements is considered for the implementation, while the analysis is carried out using the radiation pattern in terms of side lobe level. Two cases of element failure are considered. In the first case, second element failure is inflicted, while in the second case, the same is repeated with 30-element linear array. The simulation is carried out using MATLAB, and the results are analyzed using the corresponding radiation pattern plots and convergence plots.