ESTIMATING THE STRUCTURAL AND OPERATING EFFICIENCY OF RECTANGULAR MICRO-STRIP PATCH ANTENNA AT 2.4GHZ WLAN APPLICATIONS
Journal: International Journal of Computer Engineering and Technology (IJCET) (Vol.9, No. 5)Publication Date: 2018-12-28
Authors : S. Ponlatha N. Jayanthi;
Page : 336-345
Keywords : Micro strip; Patch; VSWR; Return loss; WLAN; Microstrip Patch Antenna; Bandwidth.;
Abstract
A rectangular microstrip patch antenna is modelled in this article. The suggested antenna for wireless local area network [WLAN] uses a 2.4GHz resonant frequency. There are several various types of antennas, but we'll concentrate on rectangular antennas, which are built to accommodate the resonant frequency described above. Because of this frequency selection, the antenna is ideal for usage in a wireless Local Area Network [WLAN]. The antenna architecture is optimised using the High Frequency Structure Simulator programme HFSS's optometric in order to make the proposed antenna more reliable and effective. The microstrip line model system is used, and HFSS programme is used to simulate it. The rectangular Patch architecture equations are applied and well-simulated results are used to verify them. This antenna is built on a FR4 Epoxy dielectric substrate with a relative permittivity of 4.4, a thickness of 1.60mm, and a 50 ohm input impedance. The proposed antenna's compact structure and low profile properties rendered it simple to fabricate and ideal for use in WLAN applications. With the rapid advancement in wireless communication technologies, an antenna with high precision is needed. This research paper shows a Microstrip patch antenna for satellite transmission that operates in the L band and has a 2.4GHz frequency resonance. The coaxial feeding system is used for this antenna. This antenna's Bandwidth, Gain, and Return Loss are all investigated. For modelling and simulation, the HFSS 13.0 platform is used.
Other Latest Articles
- AN EXPLORATORY STUDY ON MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE
- REVISITING THE CONCEPTS AND TECHNIQUES OF DATA MINING
- AETIOLOGIES AND PATHOPHYSIOLOGICAL BASIS OF MONOCULAR VISUAL AURA
- PERFORMANCE OF BIOMEDICAL SIGNALS WITH FFT ANALYSIS
- IMPROVED ADAPTIVE THRESHOLDING OF MEDICAL IMAGES USING GENETIC ALGORITHM
Last modified: 2022-03-10 17:18:44