Sequential Non-Linear Programming Optimization: A Novel Design Optimization of a Multiband MIMO Antenna

Abstract

This work introduces a novel optimization procedure for converting a MIMO antenna operating in multibands into an Ultra-Wide Band (UWB) operating antenna. The Sequential Non-Linear Programming algorithm (SNLP) of HFSS carried out the antenna's design optimization. First of all, the MIMO antenna design is considered as the optimization task with multiple objectives of operating in UWB ranges with an isolation of 20 dB. This multiple-objective task is the optimizing problem, and the ANSYS HFSS SNLP algorithm was chosen as the proper one to optimize the antenna geometrical variables. A prototype is realized on the low-cost Frame Retardent-4 substrate to validate the optimized parameters. Moreover, the built prototype is authenticated in an anechoic chamber. A good agreement was noted between the measurements and simulation results through achieving UWB, 20 dB isolation, and a gain of around 2dB in the resonating bands. The SNLP algorithm successfully attains the desired optimization.