PROJECT TITLE :

Patch Antennas With Loading of a Pair of Shorting Pins Toward Flexible Impedance Matching and Low Cross Polarization

ABSTRACT:

Patch antennas with loading of a pair of shorting pins are proposed during this paper toward flexible impedance matching and low cross polarization. The shorting pins are introduced within the centerline of a sq. patch to strengthen the surface current density near the feeding point at edge. As these paired pins simultaneously move off from the middle toward the 2 radiating edges of patch, the resonant input impedance of the microstrip-edge-fed patch antenna is increasingly reduced thanks to enlarged current density at the feeding purpose. As a result of of symmetric arrangement of those two shorting pins, surface current density on the patch is maintained as the odd-symmetric property with respect to the H-plane, so tremendously degrading the cross-polarization level. Simulated and measured results are found in smart agreement with each different in terms of input impedance and radiation pattern. They any demonstrate that co-polarization to cross-polarization ratio (CTCR) of the paired-pins-loaded patch antenna in H-plane is maintained a minimum of 10 dB beyond that of its single-pin-loaded patch counterpart.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here


PROJECT TITLE : An Iteratively Optimized Patch Label Inference Network for Automatic Pavement Distress Detection ABSTRACT: We present a novel deep learning framework that we call the Iteratively Optimized Patch Label Inference
PROJECT TITLE : Accelerating GMM-Based Patch Priors for Image Restoration Three Ingredients for a 100_ Speed-Up ABSTRACT: The goal of picture restoration is to restore a clear image from a smudged one. In order to restore natural
PROJECT TITLE : High-quality Image Restoration Using Low-Rank Patch Regularization and Global Structure Sparsity ABSTRACT: In recent years, picture restoration has improved significantly thanks to techniques based on nonlocal
PROJECT TITLE : Nonlocal Patch Tensor Sparse Representation for Hyperspectral Image Super-Resolution ABSTRACT: Super-resolution of hyperspectral images (HSI) is shown in this study, which combines low-resolution (LR) HSI with
PROJECT TITLE :A Group-Based Image Inpainting Using Patch Refinement in MRF Framework - 2018ABSTRACT:This Project presents a Markov random field (MRF)-primarily based image inpainting algorithm using patch selection from teams

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry