Synthesis of sparse square arrays with high beam collection efficiency under minimum element spacing constraints

Abstract

This letter presents a large spacing nonuniform distribution, uniform excitation sparse square array model to maximize beam collection efficiency (BCE) and minimize sidelobe level outside the collection area (CSL) of the transmitting antenna in microwave wireless power transmission (MWPT) systems. We improve the position update parameters in the dynamic weight particle swarm optimization (DWPSO) algorithm by adding multiobjective learning features (MODWPSO). We use MODWPSO to optimize the elements' positions to maximize BCE and minimize CSL and discuss the effect of the minimum element spacing value on BCE and CSL. By comparing the array performance with a typical array model, it can be concluded that the proposed large spacing sparse nonuniform distribution, uniform excitation square array model has higher BCE, lower CSL, and fewer costs.

A Novel Multi-objective Synchronous Optimal Subarray Partition Method for Transmitting Array in Microwave Wireless Power Transmission

“…To further validate the superiority and rationality of the suggested spacing between array elements in this research, while also meeting the criteria for array sparsity [21], the perfor-mances of the array element spacing at 0.5λ, 0.55λ, and 0.6λ are compared using the evaluation metrics ∆BCE and α ref .…”