Artificial Neural Network model for suspended equilateral triangular microstrip antennas

Deshmukh, Amit A.; Venkata, A. P. C.; Nagarbowdi, Shafin; Kulkarni, Shivali D.

doi:10.1109/iccict.2015.7045663

Search citation statements

Order By: Relevance

Paper Sections

Select...

Research Article1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2015

2022

Publication Types

Select...

Book3

Article2

Relationship

Self Cite0

Independent5

Authors

Journals

Cited by 11 publications

(1 citation statement)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, the same is not reported for a thicker substrate. The artificial neural network model to calculate ETMSA side length on a thicker air substrate (h = 0.04-0.1l 0 ), over 700-6000 MHz frequency band is reported [22]. Using this method, the side length of an ETMSA, for f TM 10 frequency of ∼1050 MHz, is calculated.…”

Section: Research Articlementioning

confidence: 99%

Compact broadband modified triangular microstrip antennas

Deshmukh¹,

Ray²

2015

IET Microwaves, Antennas & Propagation

View full text Add to dashboard Cite

Slot cut compact shorted 60° sectoral microstrip antenna and its complementary configuration are proposed. The slot optimises the spacing between higher order TM1/4,1 and fundamental TM1/4,0 modes to yield broadband response. On air substrate of thickness 0.105λ0, shorted 60° sectoral patch antenna yields a bandwidth (BW) (VSWR ≤ 2) of more than 600 MHz (821–1428 MHz, ∼54%), whereas its complementary configuration yields BW of more than 480 MHz (655–1142 MHz, >50%). The proposed antennas show a broadside radiation pattern with a gain of more than 3 dBi over the complete BW.

show abstract

Section: Research Articlementioning

confidence: 99%