1. Tri-band Impedance Matching Network Design Using Particle Swarm Optimization Algorithm
- Author
-
Sadik Ulker
- Subjects
Matching (statistics) ,impedance matching ,lcsh:Computer engineering. Computer hardware ,General Computer Science ,particle swarm optimization ,Computer science ,business.industry ,Impedance matching ,Particle swarm optimization ,lcsh:TK7885-7895 ,Evolutionary computation ,Network planning and design ,computer aided engineering ,Transmission line ,evolutionary computation ,Electronic engineering ,Hardware_INTEGRATEDCIRCUITS ,lcsh:Electrical engineering. Electronics. Nuclear engineering ,Electrical and Electronic Engineering ,Computer-aided engineering ,business ,microwave circuits ,lcsh:TK1-9971 ,Transformer (machine learning model) - Abstract
A solution strategy is presented using a five-section transmission line impedance transformer aiming for multiple band matching network circuits. In this paper, the analysis, which is based on the transmission line theory and application of the evolutionary algorithm for the solution of the stated problem are explained. Design of the matching networks was performed and optimized at three different frequencies 1.8 GHz, 2.4 GHz and 3 GHz at the same time. Tests were performed for two different load configurations. The optimized design values obtained from the particle swarm optimization algorithm were verified for correctness using microwave simulator. After the fabrication of the circuits, the measurements were taken for these circuits for the validation of the design. From the observations that were made, it can be concluded that particle swarm optimization can be a good choice for the design and optimization of multiple band matching network circuits.
- Published
- 2019