Adaptive Network-Based Inference System Models On Multiband Patch Antenna Design
Yükleniyor...
Tarih
2015
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
TUBITAK Scientific & Technical Research Council
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
In this study, an adaptive network-based fuzzy inference system (ANFIS) for multiband microstrip patch antenna (MMPA) modeling is proposed. The MMPA includes a single patch with inverted L-shaped stubs on the edges. The antenna production process needs iterative runs of the electromagnetic (EM) simulator, fabricating and testing the simulated antenna to find the optimum geometry. Production processes (design, simulation, fabrication, and testing) and the cost computation time add to the overall manufacturing expenses. A computer-aided modeling approach using the ANFIS is developed and trained with data acquired from the EM simulators, Sonnet Suites and AWR AXIEM, and measurement data. The overall data set includes 7777 input-output pairs, of which 3338 are used for the testing of the ANFIS model. The trained ANFIS model provides accurate and reliable results compared with the EM simulators and measured data.
Açıklama
Anahtar Kelimeler
Adaptive Network-Based Fuzzy Inference System; Multiband Microstrip Patch Antennas; EM Simulator; Modeling.
Kaynak
Turkish Journal of Electrical Engineering & Computer Sciences
WoS Q Değeri
Q4
Scopus Q Değeri
Q3
