Please wait ...
0% Complete
Home
/
11th International Symposium on Telecommunication (IST'2024)
Optimum Patch Selection for Wideband Planar Spoof Surface Plasmon Polaritons Ku-Band Satellite Receive Antenna
Authors :
Mahdi Siasifar
1
Asghar Keshtkar
2
Shervin Amiri
3
1- دانشگاه بینالمللی امام خمینی (ره)
2- دانشگاه بینالمللی امام خمینی (ره)
3- سازمان پژوهشهای علمی و صنعتی ایران
Keywords :
Wideband planar satellite reception antennas،spoof surface plasmon polaritons (SSPP)،standing wave (SW) feeding،5G and 6G planar antennas
Abstract :
Three single line linearly polarized planar leaky wave (LW) spoof surface plasmon polaritons (SSPP) Ku-band satellite reception antennas with circular, square and rectangular radiating patches are presented and compared. A novel method for feeding patches with an open-ended standing wave (SW) SSPP waveguide is also used. All three antennas are simulated by CST Studio commercial software, and the best patch type is selected by comparison of the results. SSPP-LW planar KU-band antennas are finding wide applications in 5G, 6G, existing Geo-stationary (GSO) satellites and emerging non-geostationary (NGSO) satellite constellations communications. The high gain needed for most of these applications in practice, dictates utilization of an array of several branches of antennas, resulting few hundreds of patches. Therefore, any improvements due to optimized selection of patch type studied in this letter, has significant importance in the overall antenna performance. Moreover, the optimized structure is a wise selection for the main building block of large high gain planar LW-SSPP antenna arrays.
Papers List
List of archived papers
Quantum Algorithms and Hybrid Solutions for Real-Time Vision Applications: Evaluation and Comparison
Mahdi Seyfipoor - Mohammad Javad Samii Zafarqandi - Siamak Mohammadi
Optimizing Smart Parking Solutions in Vehicle-to-Vehicle Networks
Alireza Yari - Pouya Fathollahzadeh
Public Safety Assessment of Radio Frequency Electromagnetic Exposure
Narges Noori
The cost of renting a fiber network from one operator to another in Iran
Reza Mehri - Davoud Ranjbarrafie - Elham Ziaeipour
Automotive Radar Simulator Based on Ray-Tracing and Machine Learning
Jamal Kazazi - Alireza Mahdavi - Mahmoud Kamarei - Mohammad Fakharzadeh
A Low-Cost Passive Thermal IR Imaging System for Automated Hidden Object Detection Using AI
Mohammad Javad Amiri - Saman Ghazanfari - Mohammad Parsa Mirzaei Sarmad - Mohammad Fakharzadeh
Proposing a Comprehensive Method for Extracting Monitoring Indicators for Cloud Service Layers
Davood Maleki - Neda Ghorbani - Ehsan Arianian - Alireza Mansouri
Deep Learning for Electromagnetic Metamaterial Inverse Design
Ali Nezaratizadeh - Seyed Mohammad Hashemi - Mohammad Bod
Introducing a Semantic Model for Smart Composition of E-Learning Content
Narges Shahhoseini - Fattaneh Taghiyareh - Kambiz Badie
Estimating Earthquake Magnitude using Simple Deep Learning Methods
AmirReza Malakutifar - Nasser Mozayani - Sajjad Kazem Shiroodi - Omid Saeidi
more
Samin Hamayesh - Version 44.9.0