Aperiodic Linear Array Pattern Optimization Based on Vector Mapping and Harmony Search Algorithm

摘要

To come up with the problem of designing aperiodic linear arrays with multiple constraints, a pattern synthesis technique based on vector mapping and Improved Harmony Search (IHS) Algorithm is proposed to reduce the peak side-lobe level (PSLL) of the array. The constraints include the number of elements, the array aperture, and the minimum and the maximum distance between neighboring elements. On the condition that the feasible solution space remains unchangeable, a special vector mapping is applied between the element spacings and the initial variables. Thus, the constrained optimization problem is simply transformed to a non-constrained problem with greater degree of freedom (DoF). Design case found in the literature is simulated to compare the performance of these algorithms. Simulation results reveal the high efficiency, robustness and low computation cost of the proposed method.