Bandwidth Improvement of an Inverted-F Antenna Using Dynamic Hybrid Binary Particle Swarm Optimization
نویسندگان
چکیده
This paper proposes a Dynamic Hybrid Binary Particle Swarm Optimization (DH-BPSO) algorithm to improve the bandwidth of an inverted-F antenna (IFA). The proposed improves upon existing Artificial Immune System (AIS) by including weighting factor that dynamically changes throughout optimization. DH-BPSO activates or deactivates 12 × 2 grid parasitic patches incorporated between IFA and ground plane. optimized conventional IFAs are fabricated compared while maintaining same volume. measurement results show have characteristics 58.6% wider bandwidths 5.8% higher gain for various clearance lengths at Long Term Evolution (LTE) 700 MHz band IFAs.
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ژورنال
عنوان ژورنال: Applied sciences
سال: 2021
ISSN: ['2076-3417']
DOI: https://doi.org/10.3390/app11062559