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.

Optimal Design of Compact Dual-Band Slot Antenna Using Particle Swarm Optimization for WLAN and WiMAX Applications

2019 ◽  
Vol 12 (5) ◽  
pp. 425-431
Author(s):  
Amiya Bhusana Sahoo ◽  
Guru Prasad Mishra ◽  
Biswa B. Mangaraj
Keyword(s):  
Particle Swarm Optimization ◽  
Patch Antenna ◽  
Wireless Local Area Network ◽  
Local Area Network ◽  
Ground Plane ◽  
Particle Swarm ◽  
Dual Band ◽  
Slot Antenna ◽  
Area Network ◽  
Swarm Optimization

Background: A novel, small size, dual-band rectangular patch antenna with two narrow vertical slots for Wireless Local Area Network (WLAN) and Worldwide Interoperability for Microwave Access (WiMAX) application is presented here. Methods: The proposed antenna, fed by coaxial line, has dimensions of 21.075 mm ×17 mm ×1. 6 mm. With a pair of vertical slots, the antenna is resonating in 3.5 GHz WiMAX and 5.3 GHz WLAN band. The dimensions of the ground plane, substrate, radiating patch and two slots on the patch antenna are optimized using Particle Swarm Optimization (PSO) to obtain the desired operating frequency band. Results: The proposed antenna shows good radiation characteristics at these two operating bands, making it suitable for dual-band operation. Conclusion: The same design with some different physical parameter may be suitable for other kinds of wireless services. Further, application of Defected Ground Structure (DGS) to such models may also provide better performance.

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 MULTIBAND MILLIMETER WAVE T-SHAPED ANTENNA WITH OPTIMIZED PATCH PARAMETER USING PARTICLE SWARM OPTIMIZATION

2017 ◽  
Vol 36 (3) ◽  
pp. 904-909
Author(s):  
AH Jabire ◽  
A Abdu ◽  
S Salisu
Keyword(s):  
Particle Swarm Optimization ◽  
Millimeter Wave ◽  
Patch Antenna ◽  
Return Loss ◽  
Particle Swarm ◽  
Impedance Bandwidth ◽  
Electromagnetic Spectrum ◽  
Radiation Characteristics ◽  
Swarm Optimization ◽  
High Frequency Structure Simulator

This paper proposed a simple T-shaped patch antenna for millimeter waveband frequency operation. Millimeter wave is a frequency ranges between 30GHz to 300GHz in an electromagnetic spectrum. The proposed antenna consists of T-shape radiating patch mounted on rectangular substrate (FR4-4) and microstrip line for antenna feeding. An evolutionary algorithm called particle swarm optimization was used to optimize the length and width of the proposed antenna patch. The proposed antenna gives triple bands with central frequencies at 42GHz, 51.5GHz and 60GHz. The antenna offers minimum return loss of -19db, -24db and -19.5db at 42GHz, 51.5GHz and 60GHz respectively. The return loss impedance bandwidth of 5GHz for the first band, 8.4GHz for the second band and 5GHz for the third band was obtained. The proposed antenna was analyzed using Ansoft High Frequency Structure Simulator (HFSS) and MATLAB 2013. Radiation characteristics of this patch antenna are observed at various resonating frequencies.  http://dx.doi.org/10.4314/njt.v36i3.33

Particle Swarm Optimization Algorithms Applied to Antenna and Microwave Design Problems

2012 ◽  
pp. 100-126
Author(s):  
Sotirios K. Goudos ◽  
Zaharias D. Zaharis ◽  
Konstantinos B. Baltzis
Keyword(s):  
Particle Swarm Optimization ◽  
Optimization Problems ◽  
Particle Swarm ◽  
Dual Band ◽  
Design Problems ◽  
Swarm Optimization ◽  
Multi Objective ◽  
Fitness Sharing ◽  
Microwave Design ◽  
Velocity Mutation

Particle Swarm Optimization (PSO) is an evolutionary optimization algorithm inspired by the social behavior of birds flocking and fish schooling. Numerous PSO variants have been proposed in the literature for addressing different problem types. In this chapter, the authors apply different PSO variants to common antenna and microwave design problems. The Inertia Weight PSO (IWPSO), the Constriction Factor PSO (CFPSO), and the Comprehensive Learning Particle Swarm Optimization (CLPSO) algorithms are applied to real-valued optimization problems. Correspondingly, discrete PSO optimizers such as the binary PSO (binPSO) and the Boolean PSO with velocity mutation (BPSO-vm) are used to solve discrete-valued optimization problems. In case of a multi-objective optimization problem, the authors apply two multi-objective PSO variants. Namely, these are the Multi-Objective PSO (MOPSO) and the Multi-Objective PSO with Fitness Sharing (MOPSO-fs) algorithms. The design examples presented here include microwave absorber design, linear array synthesis, patch antenna design, and dual-band base station antenna optimization. The conclusion and a discussion on future trends complete the chapter.

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