scholarly journals Bandwidth Improvement of an Inverted-F Antenna Using Dynamic Hybrid Binary Particle Swarm Optimization

2021 ◽  
Vol 11 (6) ◽  
pp. 2559
Author(s):  
Jude Alnas ◽  
Garrett Giddings ◽  
Nathan Jeong
Keyword(s):  
Particle Swarm Optimization ◽  
Ground Plane ◽  
Particle Swarm ◽  
Weighting Factor ◽  
Binary Particle Swarm Optimization ◽  
Artificial Immune ◽  
Swarm Optimization ◽  
Measurement Results ◽  
Dynamic Hybrid

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 algorithm improves upon the existing Artificial Immune System (AIS) algorithm by including a weighting factor that dynamically changes throughout the optimization. DH-BPSO activates or deactivates a 12 × 2 grid of parasitic patches incorporated between the IFA and ground plane. The DH-BPSO optimized and conventional IFAs are fabricated and compared while maintaining the same antenna volume. The measurement results show that the optimized IFAs have characteristics of 58.6% wider bandwidths and 5.8% higher antenna gain for various ground clearance lengths at Long Term Evolution (LTE) 700 MHz band compared to the conventional IFAs.

scholarly journals Particle Swarm Optimization for Antenna Designs in Engineering Electromagnetics

2008 ◽  
Vol 2008 ◽  
pp. 1-10 ◽  
Author(s):  
Nanbo Jin ◽  
Yahya Rahmat-Samii
Keyword(s):  
Particle Swarm Optimization ◽  
Patch Antenna ◽  
Ground Plane ◽  
Particle Swarm ◽  
Dual Band ◽  
Radiation Characteristics ◽  
Swarm Optimization ◽  
Multiobjective Problems ◽  
Wave Antenna ◽  
Measurement Results

This paper presents recent advances in applying particle swarm optimization (PSO) to antenna designs in engineering electromagnetics. By linking the PSO kernel with external electromagnetic (EM) analyzers, the algorithm has the flexibility to handle both real and binary variables, as well as multiobjective problems with more than one optimization goal. Three examples, including the designs of a dual-band patch antenna, an artificial ground plane of a surface wave antenna, and an aperiodic antenna array, are presented. Both simulation and measurement results are provided to illustrate the effectiveness of applying the swarm intelligence to design antennas with desired frequency response and radiation characteristics for practical EM applications.

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