Back to Search
Start Over
Tri-band Impedance Matching Network Design Using Particle Swarm Optimization Algorithm
- Source :
- Advances in Electrical and Computer Engineering, Vol 19, Iss 4, Pp 37-46 (2019)
- Publication Year :
- 2019
- Publisher :
- Stefan cel Mare University of Suceava, 2019.
-
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.
- 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)
Subjects
Details
- Language :
- English
- ISSN :
- 18447600 and 15827445
- Volume :
- 19
- Issue :
- 4
- Database :
- OpenAIRE
- Journal :
- Advances in Electrical and Computer Engineering
- Accession number :
- edsair.doi.dedup.....55eafa339da183059b7e464ffd6b8bcd