Nonuniform Overlapping Method in Designing Microstrip Patch Antennas Using Genetic Algorithm Optimization
Genetic algorithm (GA) has been a popular optimization technique used for performance improvement of microstrip patch antennas (MPAs).When using GA, the patch geometry is optimized by dividing the patch area into small rectangular cells.This has an inherent problem of adjacent cells being connected...
| Autores: | , , , |
|---|---|
| Formato: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2014 |
| País: | España |
| Recursos: | Universitat Ramon Llull (URL) |
| Repositorio: | DAU Arxiu Digital de la Universitat Ramon Llull |
| OAI Identifier: | oai:dau.url.edu:20.500.14342/3348 |
| Acesso em linha: | http://hdl.handle.net/20.500.14342/3348 http://dx.doi.org/10.1155/2015/805820 |
| Access Level: | acceso abierto |
| Palavra-chave: | Sistema global per a comunicacions mòbils Telefonia mòbil |
| Resumo: | Genetic algorithm (GA) has been a popular optimization technique used for performance improvement of microstrip patch antennas (MPAs).When using GA, the patch geometry is optimized by dividing the patch area into small rectangular cells.This has an inherent problem of adjacent cells being connected to each other with infinitesimal connections, which may not be achievable in practice due to fabrication tolerances in chemical etching. As a solution, this paper presents a novelmethod of dividing the patch area into cells with nonuniform overlaps. The optimized design, which is obtained by using fixed overlap sizes, shows a quad-band performance covering GSM1800, GSM1900, LTE2300, and Bluetooth bands. In contrast, use of nonuniform overlap sizes leads to obtaining a pentaband design covering GSM1800, GSM1900, UMTS, LTE2300, and Bluetooth bandswith fractional bands with of 38% due to the extra design flexibility. |
|---|