Journal
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
Volume 69, Issue 3, Pages 1831-1836Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TAP.2020.3012792
Keywords
Isolators; Mutual coupling; Topology; Optimization; Microstrip antenna arrays; Frequency reconfigurability; mutual coupling reduction; optimization; reconfigurable antenna; surrogate modeling
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This study introduces an automatic AI-driven design procedure and a novel isolator for a frequency reconfigurable antenna array, which effectively reduces mutual coupling. The results demonstrate that the design strategy can be successfully applied to other array topologies.
An automatic artificial intelligence (AI)-driven design procedure for mutual coupling reduction and a novel isolator are proposed for a frequency reconfigurable antenna array. The design process is driven and expedited by the parallel surrogate model-assisted differential evolution for antenna synthesis (PSADEA) method. The reconfigurable array element can switch its operation between the 2.5 GHz ISM band and the 3.4 GHz WiMAX band. By introducing the proposed isolator, the mutual coupling in the higher and lower band is reduced by 8 and 7 dB, respectively. The reconfigurable array was prototyped, and measurements agree well with simulations, verifying the validity of the proposed concept. Although used for a specific antenna in this communication, the proposed AI-driven design strategy is generic and can easily be employed for other array topologies.
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