Sparse 2D MIMO Antenna Designs using Simulated Annealing

In the research reported in this paper a methodology of optimizing the positions of the elements of sparse 2D MIMO array is proposed. This methodology is based on simulated annealing and has the goal of minimizing the sidelobe level (SSL) whilst keeping the beamwidth constant and consistent with the size of the virtual receive array. The computational benefits of pre-defined initial positions of the array are discussed and results are presented to illustrate performance potential.