LAUSR

This study proposes an asymmetric mapping method to design sparse planar arrays with multiple constraints including the aperture, number of elements, and minimum spacing between adjacent elements. Benefiting from two different mapping functions, which are established in this letter, this approach allows one to overcome the limitations of the existing matrix mapping method in terms of flexibility and performances. The numerical validation points out that the proposed method outperforms the matrix mapping method and modified real genetic algorithm in the design of array arrangements.