0% Complete
صفحه اصلی
/
سی و یکمین کنفرانس بین المللی مهندسی برق
A novel wideband low profile Fabry-Perot cavity antenna using single-layer partially reflective surface
نویسندگان :
Mahtab Ghanbari
1
Bijan Abbasi arand
2
Maryam Hesari shermeh
3
1- دانشگاه تربیت مدرس
2- دانشگاه تربیت مدرس
3- دانشگاه تربیت مدرس
کلمات کلیدی :
Fabry-Perot cavity antenna،partially reflective surface،wideband
چکیده :
Abstract— In this paper, we present a design for improving the bandwidth of Fabry-Perot cavity antenna (FPCA) employing a single layer partially reflective surface (PRS). A novel two-sided unit cell is suggested for PRS which is composed of a square patch and an H-shaped ring to create a positive reflection phase gradient. The designed antenna works in the X-band and for its feeding source, an aperture-coupled microstrip antenna is utilized. The single layer of PRS enables the advantage of a low profile along with its wide bandwidth. According to the simulation results, a 3dB gain bandwidth of 34.24% is obtained for the antenna in the frequency range of 8.21-11.6 GHz and an impedance bandwidth (S11<-10dB) of 50.17% in the frequency range of 8.72 -14.56 GHz.
لیست مقالات
لیست مقالات بایگانی شده
Adaptive synchronous switching of uncompensated open transmission lines Realizing the line’s Parameters, and the pre-arcing interval
Alireza Karimonnafs - Mehdi Vakilian
Analysis of an E-core Permanent Magnet Switched Reluctance Motor
Ali Ghaffarpour - Mojtaba Mirsalim
Low-Power Subthreshold Level Shifter in 180 nm Process
Zahra Ghasemzadeh - Mehdi Saberi
Investigation of Impact Ionization Variations Versus Electric Field and Temperature in Compound Semiconductors for UV-APD Applications
Mohammad hossein Khoddami - Hassan Kaatuzian - Mohammad hossein Asgari
Tumor-treating fields orientation effects on breast cancer cells in vitro
Fatemeh Khanmohammadi - Mohammad Sadegh Bank - Majid Badieirostami
A Linear Position Sensor Proposal by Development of a Variable Reluctance Linear Resolver
Arman Ramezannezhad - Peyman Naderi - Lieven Vandevelde
Integration of Deep Learning Techniques in Stock Market Forecasting: xLSTM-CNN with RevIN and Adaptive Wavelet Denoising
Alireza Mohammadi - Ali Doustmohammadi - Masoud Shafiee
تخمین کانال های پهپاد به پهپاد با استفاده از فیلتر کالمن توسعه یافته
فهیمه رنجبر - محمدعلی سبقتی
T-type L-2L De-Embedding Method for On-Wafer T-model Transmission Line Network
Milad Seyedi - Nasser Masoumi - Samad Sheikhaei
Sensitivity Analysis of Power Production and Efficiency in Shahid Mofateh Hamedan Power Plant: A Comparative Study of Operational Indicators
Mahdi Aliyari-Shoorehdeli - Aryan Isapour
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 40.4.2